Self-adaptive metaheuristics for solving a multi-objective 2-dimensional vector packing problem
We study a new multi-objective 2-dimensional vector packing problem. We propose several encoding/decoding strategies whose parameters are embedded in the solution encoding. We compare the presented strategies using two multi-objective population-based metaheuristics namely NSGA-II and PLS-1.
metaheuristics 2-dimensional vector packing problem multi-objective combinatorial optimization