NEOCFeb 21, 2013

A Weight-coded Evolutionary Algorithm for the Multidimensional Knapsack Problem

arXiv:1302.5374v46 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental improvement for combinatorial optimization researchers and practitioners.

The authors tackled the multidimensional knapsack problem by proposing a revised weight-coded evolutionary algorithm (RWCEA) with a new decoding method and heuristic initialization, which outperformed a prior algorithm and some benchmarks from the OR-library.

A revised weight-coded evolutionary algorithm (RWCEA) is proposed for solving multidimensional knapsack problems. This RWCEA uses a new decoding method and incorporates a heuristic method in initialization. Computational results show that the RWCEA performs better than a weight-coded evolutionary algorithm proposed by Raidl (1999) and to some existing benchmarks, it can yield better results than the ones reported in the OR-library.

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