yusuke1997/dblp-id-title huggingface dataset:
A constrained multi-objective evolutionary algorithm using valuable infeasible solutions
Surrogate-Assisted Differential Evolution Light Gradient Boosting Machine for Mangrove Aboveground Biomass inversion
A many-objective evolutionary algorithm based on rotation and decomposition
A matheuristic approach for the mobile parcel locker delivery system with delivery robots and drone resupply
A multiobjective evolutionary algorithm based on decision variable classification for many-objective optimization
A multiple direction search algorithm for continuous optimization
Fuzzy evolutionary cellular learning automata model for text summarization
A Two-Stage LLVM Option Sequence Optimization Method to Minimize Energy Consumption
A noise-resistant infill sampling criterion in surrogate-assisted multi-objective evolutionary algorithms
Self-optimised cost-sensitive classifiers for early field failure prediction in storage systems
Regression and relation-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization
A hybrid intelligent optimization algorithm for long-term production planning of open-pit mine considering carbon reduction plan
A novel Bayesian approach for multi-objective stochastic simulation optimization
An improved simulated annealing algorithm with crossover operator for capacitated vehicle routing problem
Solving the multi-objective Vehicle Routing Problem with Soft Time Windows with the help of bees
Swarm virus - Next-generation virus and antivirus paradigm?
Distance based parameter adaptation for Success-History based Differential Evolution
Chaos control assisted single-loop multi-objective reliability-based design optimization using differential evolution
A better balance in metaheuristic algorithms: Does it exist?
A Q-learning-based biology migration algorithm for energy-saving flexible job shop scheduling with speed adjustable machines and transporters
Reproductive bias, linkage learning and diversity preservation in bi-objective evolutionary optimization
Robust tuning of excitation controller for stability enhancement using multi-objective metaheuristic Firefly algorithm
Metaheuristic-optimized TabNet ensemble for accurate and interpretable obesity classification
An algebraic framework for swarm and evolutionary algorithms in combinatorial optimization
Improved binary artificial fish swarm algorithm for the 0-1 multidimensional knapsack problems
Survivable networks via on-line real-time evolution of dual air-ground swarm
MOEA based memetic algorithms for multi-objective satellite range scheduling problem
Reinforcement learning-based hybrid differential evolution for global optimization of interplanetary trajectory design
Self-organizing surrogate-assisted non-dominated sorting differential evolution
Fast multiobjective immune optimization approach solving multiobjective interval number programming
A Q-learning based memetic algorithm for flexible flow shop scheduling with active waiting and job switching
A three-level particle swarm optimization with variable neighbourhood search algorithm for the production scheduling problem with mould maintenance
Benchmarking footprints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure
A gravitational search algorithm for multimodal optimization
Evolving neural network for few-shot learning via training-free NAS
Soccer league competition algorithm for solving knapsack problems
Secure key based cloud security utilizing three-way protection with martino homomorphic encryption for preventing unauthorized data access
A novel memory usage guided fuzzing based on particle swarm optimization
When large language model meets optimization
A decomposition framework with dual populations and dual stages for constrained multi-objective optimization
Memory backtracking strategy: An evolutionary updating mechanism for meta-heuristic algorithms
Two-stage knowledge-assisted coevolutionary NSGA-II for bi-objective path planning of multiple unmanned aerial vehicles
Dynamic multi-swarm differential learning particle swarm optimizer
Adapted ant colony optimization for efficient reconfiguration of balanced and unbalanced distribution systems for loss minimization
A comprehensive survey: Whale Optimization Algorithm and its applications
A production inventory model with price discounted fuzzy demand using an interval compared hybrid algorithm
Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization
Performance optimization of Band Pass Filters and Wavelength Division Multiplexers for communication systems
A modified Intellects-Masses Optimizer for solving real-world optimization problems
Knowledge-transfer based genetic programming algorithm for multi-objective dynamic agile earth observation satellite scheduling problem
Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times
A coarse- and fine-grained niching-based differential evolution for multimodal optimization problems and its application in multirobot task allocation
A Robust Stochastic Fractal Search approach for optimization of the surface grinding process
Large-scale evolutionary optimization: A review and comparative study
An analysis of the search mechanisms of the bees algorithm
An ACO-based Hyper-heuristic for Sequencing Many-objective Evolutionary Algorithms that Consider Different Ways to Incorporate the DM's Preferences
Performance analysis of the multi-objective ant colony optimization algorithms for the traveling salesman problem
History archive assisted niching differential evolution with variable neighborhood for multimodal optimization
SaDENAS: A self-adaptive differential evolution algorithm for neural architecture search
A local cooperative approach to solve large-scale constrained optimization problems
Recombinative approaches for the maximum happy vertices problem
A dynamic multi-objective optimization evolutionary algorithm with adaptive boosting
Balance of exploration and exploitation: Non-cooperative game-driven evolutionary reinforcement learning
Anatomy of the fitness landscape for dense graph-colouring problem
Runtime analysis of convex evolutionary search algorithm with standard crossover
The urban bus routing problem in the Tunisian case by the hybrid artificial ant colony algorithm
Multi-objective two-level swarm intelligence approach for multiple RNA sequence-structure alignment
Adaptive artificial immune networks for mitigating DoS flooding attacks
Surrogate-assisted push and pull search for expensive constrained multi-objective optimization problems
Train energy-efficient speed profile generation under various track alignments: a quantum evolutionary algorithm with cosine annealing
Swarm intelligence techniques in recommender systems - A review of recent research
NAEMO: Neighborhood-sensitive archived evolutionary many-objective optimization algorithm
Rocchio algorithm-based particle initialization mechanism for effective PSO classification of high dimensional data
A multi-start variable neighbourhood descent algorithm for hybrid flowshop rescheduling
A comparative study of high-productivity high-performance programming languages for parallel metaheuristics
A large-scale multi-objective algorithm integrating prisoner's dilemma model and prospect theory with adaptive learning
Finding influential users for different time bounds in social networks using multi-objective optimization
On explaining machine learning models by evolving crucial and compact features
Multi-objective evolutionary simulation based optimization mechanism for a novel stochastic reliability centered maintenance problem
A constrained multi-objective evolutionary algorithm based on online problem identification and separate handling
Network reconstruction from betweenness centrality by artificial bee colony
Guest editorial special issue on Parallel/Distributed Combinatorics and Optimization
Directed Bee Colony Optimization Algorithm
On the utilization of pair-potential energy functions in multi-objective optimization
Integration of machine learning prediction and heuristic optimization for mask delivery in COVID-19
A parallel approximate evaluation-based model for multi-objective operation optimization of reservoir group
Global optimization with one-class classification-assisted selection
A knowledge-guided Estimation of Distribution Algorithm for energy-efficient Joint Robotic Assembly Line Balancing and Feeding Problem
Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm
Differential evolution using cooperative ranking-based mutation operators for constrained optimization
Q-learning assisted multi-objective evolutionary optimization for low-carbon scheduling of open-pit mine trucks
An Adaptive Multi-Meme Memetic Algorithm for the prize-collecting generalized minimum spanning tree problem
A multi-stage evolutionary algorithm based on finite state machine theory for constrained multi-objective optimization problem
DABE: Differential evolution in analogy-based software development effort estimation
A multi-objective particle swarm optimization algorithm for community detection in complex networks
A novel two-level particle swarm optimization approach to train the transformational grammar based hidden Markov models for performing structural alignment of pseudoknotted RNA
A constrained multi-objective evolutionary algorithm with clustering based weight vector adaptation
Shallow and deep neural network training by water wave optimization
Flexible time-of-use tariff with dynamic demand using artificial bee colony with transferred memory scheme
A multilevel ACO approach for solving forest transportation planning problems with environmental constraints
GAPSO-H: A hybrid approach towards optimizing the cluster based routing in wireless sensor network
Differential Evolution with multi-stage parameter adaptation and diversity enhancement mechanism for numerical optimization
Tsallis entropy based optimal multilevel thresholding using cuckoo search algorithm
A novel differential evolution algorithm for tone reservation based peak to average power ratio reduction technique in orthogonal frequency division multiplexing systems
Hybrid particle swarm optimization transplanted into a hyper-heuristic structure for solving examination timetabling problem
Solving electric vehicle-drone routing problem using memetic algorithm
Knowledge-driven inverse diffusion prediction algorithm for flexible job shop scheduling problem considering transportation resources and multiple breakdowns
Surrogate-assisted multi-objective evolutionary feature selection of generation-based fixed evolution control for time series forecasting with LSTM networks
Eigen-MM: EigenAnt Modified Mtsls1 for local search
Multi-objective orbital maneuver optimization of multi-satellite using an adaptive feedback learning NSGA-II
Multi-objective neural policy approach for agile earth satellite scheduling problem considering image quality
Push and pull search embedded in an M2M framework for solving constrained multi-objective optimization problems
Capturing the swarm intelligence in truckers: The foundation analysis for future swarm robotics in road freight
Evolutionary multimodal multiobjective optimization guided by growing neural gas
A hybrid optimization algorithm for structural balance model based on influence between nodes and community quality
A fitness-based multi-role particle swarm optimization
Deep and wide search assisted evolutionary algorithm with reference vector guidance for many-objective optimization
Particle swarm optimization based on K-means clustering and adaptive dual-groups strategy
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
Growing neural gas assisted evolutionary many-objective optimization for handling irregular Pareto fronts
Confidence-based robust optimisation using multi-objective meta-heuristics
A comprehensive investigation on novel center-based sampling for large-scale global optimization
A multi-swarm optimizer with a reinforcement learning mechanism for large-scale optimization
Using genetic programming to improve data collection for offline reinforcement learning
Jaya, harmony search and water cycle algorithms for solving large-scale real-life urban traffic light scheduling problem
A novel multi-objective evolutionary algorithm for hybrid renewable energy system design
Corrigendum to "Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends" [Swarm and Evolutionary Computation, Volume 62 (April 2021), 100841]
A survey on population-based meta-heuristic algorithms for motion planning of aircraft
A sequential excitation and simplified ant colony optimization based global extreme seeking control method for performance improvement
Automated design of priority rules for resource-constrained project scheduling problem using surrogate-assisted genetic programming
Nested evolutionary algorithms for computationally expensive bilevel optimization problems: Variants and their systematic analysis
A benchmark test problem toolkit for multi-objective path optimization
A novel stochastic fractal search algorithm with fitness-Distance balance for global numerical optimization
A matheuristic-based self-learning approach for distributed heterogeneous assembly flowshop scheduling with multiple assembly factories and make-to-order delivery
A sparse large-scale multi-objective evolutionary algorithm based on sparsity detection
Bi-objective scenario-guided swarm intelligent algorithms based on reinforcement learning for robust unrelated parallel machines scheduling with setup times
Optimising discrete dynamic berth allocations in seaports using a Levy Flight based meta-heuristic
An improved MOEA/D with reinforcement learning for flexible job shops incorporating manual operations and fatigue effects
A dynamic multi-objective evolutionary greedy algorithm for distributed hybrid flow shop rescheduling problem
A network memetic algorithm for energy and labor-aware distributed heterogeneous hybrid flow shop scheduling problem
APSM-jSO: A novel jSO variant with an adaptive parameter selection mechanism and a new external archive updating mechanism
Efficient preference learning algorithm for interactive evolutionary multi-objective optimization
A many-objective evolutionary algorithm based on constraints for collaborative computation offloading
Saturated control design of a quadrotor with heterogeneous comprehensive learning particle swarm optimization
Comparative study of regression vs pairwise models for surrogate-based heuristic optimisation
A sparse large-scale multi-objective evolutionary optimization based on bi-level interactive grouping
RL-GA: A Reinforcement Learning-based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem
A novel evolutionary strategy optimization algorithm for reliability redundancy allocation problem with heterogeneous components
A cascaded differential evolution optimization framework with adaptive population allocation and reduction
Multi-Objective Bayesian Global Optimization using expected hypervolume improvement gradient
Simple-Encoded evolving convolutional neural network and its application to skin disease image classification
Decomposition in decision and objective space for multi-modal multi-objective optimization
Memetic search for vehicle routing with simultaneous pickup-delivery and time windows
Balancing exploration and exploitation in dynamic constrained multimodal multi-objective co-evolutionary algorithm
Population decomposition evolutionary framework for constrained multiobjective optimization
A heterogeneous sparsity knowledge guided evolutionary algorithm for sparse large-scale multiobjective optimization
Modified cuckoo search algorithm for multiobjective short-term hydrothermal scheduling
Chaos particle swarm optimization with Eensemble of chaotic systems
A dual-population evolutionary algorithm based on adaptive constraint strength for constrained multi-objective optimization
PopDMMO: A general framework of population-based stochastic search algorithms for dynamic multimodal optimization
Benchmarking evolutionary algorithms for single objective real-valued constrained optimization - A critical review
Combining meta-heuristics and Q-learning for scheduling lot-streaming hybrid flow shops with consistent sublots
A niche GSA method with nearest neighbor scheme for multimodal optimization
A two-stage memetic algorithm for energy-efficient flexible job shop scheduling by means of decreasing the total number of machine restarts
Population based metaheuristics in Spark: Towards a general framework using PSO as a case study
Dynamic strategy-based hybrid genetic algorithm for solving multi-task decision-making problems for heterogeneous surface vessels
Rank fusion and semantic genetic notion based automatic query expansion model
Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms
An effective invasive weed optimization algorithm for scheduling semiconductor final testing problem
Grey Wolf Optimizer Driven design space exploration: A novel framework for multi-objective trade-off in architectural synthesis
A multi-objective artificial bee colony algorithm
Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments
Thermal energy analysis using artificial neural network and particle swarm optimization approach in partially ionized hyperbolic tangent material with ternary hybrid nanomaterials
A cost-benefit local search coordination in multimeme differential evolution for constrained numerical optimization problems
An Iterated Greedy approach to integrate production by multiple parallel machines and distribution by a single capacitated vehicle
Improved dragonfly optimization algorithm based on quantum behavior for multi-objective optimization of ethylene cracking furnace
A regularity property-driven evolutionary algorithm for multiobjective optimization
Multi-objective ligand-protein docking with particle swarm optimizers
The constrained permutation flowshop problem: An effective two-stage iterated greedy algorithm to minimize weighted tardiness
Computing budget allocation in multi-objective evolutionary algorithms for stochastic problems
Hybrid collaborative multi-objective fruit fly optimization algorithm for scheduling workflow in cloud environment
A multi-objective teaching-learning-based optimizer for a cooperative task allocation problem of weeding robots and spraying drones
Advanced design for nonlinear photovoltaic system problems: A co-evolutionary framework based on a decomposition approach
Adapting ant colony optimization to generate test data for software structural testing
Multiple adaptive strategies based particle swarm optimization algorithm
Multi-objective optimal power flow problem using constrained dynamic multitasking multi-objective optimization algorithm
Relative traffic management scheme for robot-assisted healthcare applications
Adaptive Ant Colony Optimization with node clustering applied to the Travelling Salesman Problem
Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends
Fault tolerant scheduling of hard real-time tasks on multiprocessor system using a hybrid genetic algorithm
Hierarchical structure-based joint operations algorithm for global optimization
Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization
Differential evolution with evolutionary scale adaptation
Combined model assisted evolutionary algorithm with complementary fill sampling criterion for expensive multi/many-objective optimization
A dual model-based evolutionary framework for dynamic large-scale sparse multiobjective optimization
A collaborative-learning multi-agent reinforcement learning method for distributed hybrid flow shop scheduling problem
A customized adaptive large neighborhood search algorithm for solving a multi-objective home health care problem in a pandemic environment
ChordAIS: An assistive system for the generation of chord progressions with an artificial immune system
A decomposition-based coevolutionary multiobjective local search for combinatorial multiobjective optimization
A benchmark test suite for evolutionary multi-objective multi-concept optimization
Treasure Hunt Framework: Distributing Metaheuristics on High Performance Computing Systems
A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems
Preference incorporation in MOEA/D using an outranking approach with imprecise model parameters
An efficient genetic algorithm for multi-objective solid travelling salesman problem under fuzziness
PSO based placement of multiple wind DGs and capacitors utilizing probabilistic load flow model
A surrogate-assisted evolutionary algorithm for expensive many-objective optimization in the refining process
A multi-objective immune algorithm with dynamic population strategy
A collaborative iterated greedy algorithm with reinforcement learning for energy-aware distributed blocking flow-shop scheduling
An improved discrete multi-objective artificial protozoa optimizer for solving multi-objective knapsack problems
Can the global optimum of a combinatorial optimization problem be reliably estimated through extreme value theory?
Multi-objective genetic programming based on decomposition for feature learning in image classification
A novel importance-guided particle swarm optimization based on MLP for solving large-scale feature selection problems
Investigation of power quality disturbances by using 2D discrete orthonormal S-transform, machine learning and multi-objective evolutionary algorithms
Surrogate-assisted differential evolution: A survey
Performance of Laplacian Biogeography-Based Optimization Algorithm on CEC 2014 continuous optimization benchmarks and camera calibration problem
Historical knowledge transfer driven self-adaptive evolutionary multitasking algorithm with hybrid resource release for solving nonlinear equation systems
Discrete comprehensive learning particle swarm optimization algorithm with Metropolis acceptance criterion for traveling salesman problem
BDE-Jaya: A binary discrete enhanced Jaya algorithm for multiple automated guided vehicle scheduling problem in matrix manufacturing workshop
Comparative study of system on chip based solution for floating and fixed point differential evolution algorithm
A multi-objective benchmark for UAV path planning with baseline results
A constrained multi-objective dynamic corridor allocation problem model for low-carbon manufacturing
Runtime analysis of immune-inspired hypermutation operators in evolutionary multi-objective optimization
Discovering physics-informed neural networks model for solving partial differential equations through evolutionary computation
A review of the recent use of Differential Evolution for Large-Scale Global Optimization: An analysis of selected algorithms on the CEC 2013 LSGO benchmark suite
A new dual-population evolutionary algorithm leveraging objective-constraint relationships for constrained multi-objective optimization
Integration routing and scheduling for multiple home health care centers using a multi-objective cooperation evolutionary algorithm with stochastic simulation
A ring-hierarchy-based evolutionary algorithm for multimodal multi-objective optimization
MOHFDQ: A metaheuristic approach to optimizing hospital patient registration with a fuzzy double-orbit queueing model
Unknown environment exploration of multi-robot system with the FORDPSO
Differential evolution with alternation between steady monopoly and transient competition of mutation strategies
Evolutionary reinforcement learning with density-based behavioral diversity enhancement for berth allocation and crane assignment
Surrogate-assisted grey wolf optimization for high-dimensional, computationally expensive black-box problems
A novel multi-population evolutionary algorithm based on hybrid collaboration for constrained multi-objective optimization
Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms