Improving genetic algorithm performance by population initialisation with dispatching rules

Volume: 137, Pages: 106030 - 106030
Published: Nov 1, 2019
Abstract
Scheduling is an important process that is present in many real world scenarios where it is essential to obtain the best possible results. The performance and execution time of algorithms that are used for solving scheduling problems are constantly improved. Although metaheuristic methods by themselves already obtain good results, many studies focus on improving their performance. One way of improvement is to generate an initial population...
Paper Details
Title
Improving genetic algorithm performance by population initialisation with dispatching rules
Published Date
Nov 1, 2019
Volume
137
Pages
106030 - 106030
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