Intelligent and Evolutionary Systems [electronic resource] /
Gen, Mitsuo.editor.
Katai, Osamu.editor.
McKay, Bob.editor.
Namatame, Akira.editor.
Sarker, Ruhul A.editor.
Zhang, Byoung-Tak.editor.
Asia Pacific Symposium on Intelligent and Evolutionary Systems.
Artificial evolutionary systems are computer systems, inspired by ideas from natural evolution and related phenomena. The field has a long history, dating back to the earliest days of computer science, but it has only become an established scientific and engineering discipline since the 1990s, with packages for the commonest form, genetic algorithms, now widely available. Researchers in the Asia-Pacific region have participated strongly in the development of evolutionary systems, with a particular emphasis on the evolution of intelligent solutions to highly complex problems. The Asia-Pacific Symposia on Intelligent and Evolutionary Systems have been an important contributor to this growth in impact, since 1997 providing an annual forum for exchange and dissemination of ideas. Participants come primarily from East Asia and the Western Pacific, but contributions are welcomed from around the World. This volume features a selection of fourteen of the best papers from recent APSIES. They illustrate the breadth of research in the region, with applications ranging from business to medicine, from network optimization to the promotion of innovation.
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references and index.
Index Fund Optimization Using Genetic Algorithm and Scatter Diagram Based on Coefficients of Determination -- Mining Bayesian Networks from Direct Marketing Databases with Missing Values -- Fuzzy Local Currency Based on Social Network Analysis for Promoting Community Businesses -- Evolving Failure Resilience in Scale-Free Networks -- Evolving Networks with Enhanced Linear Stability Properties -- Effectiveness of Close-Loop Congestion Controls for DDoS Attacks -- Priority-Based Genetic Algorithm for Shortest Path Routing Problem in OSPF -- Evolutionary Network Design by Multiobjective Hybrid Genetic Algorithm -- Hybrid Genetic Algorithm for Designing Logistics Network, VRP and AGV Problems -- Multiobjective Genetic Algorithm for Bicriteria Network Design Problems -- Use of Serendipity Power for Discoveries and Inventions -- Evolution of Retinal Blood Vessel Segmentation Methodology Using Wavelet Transforms for Assessment of Diabetic Retinopathy -- Multistage-Based Genetic Algorithm for Flexible Job-Shop Scheduling Problem -- Implementation of Parallel Genetic Algorithms on Graphics Processing Units.
Artificial evolutionary systems are computer systems, inspired by ideas from natural evolution and related phenomena. The field has a long history, dating back to the earliest days of computer science, but it has only become an established scientific and engineering discipline since the 1990s, with packages for the commonest form, genetic algorithms, now widely available. Researchers in the Asia-Pacific region have participated strongly in the development of evolutionary systems, with a particular emphasis on the evolution of intelligent solutions to highly complex problems. The Asia-Pacific Symposia on Intelligent and Evolutionary Systems have been an important contributor to this growth in impact, since 1997 providing an annual forum for exchange and dissemination of ideas. Participants come primarily from East Asia and the Western Pacific, but contributions are welcomed from around the World. This volume features a selection of fourteen of the best papers from recent APSIES. They illustrate the breadth of research in the region, with applications ranging from business to medicine, from network optimization to the promotion of innovation.
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.