Multi-objective Gene-pool Optimal Mixing Evolutionary Algorithm with the Interleaved Multi-start Scheme
نویسندگان
چکیده
منابع مشابه
Multi-objective Gene-pool Optimal Mixing Evolutionary Algorithm with the interleaved multi-start scheme
The Multi-objective Gene-pool Optimal Mixing Evolutionary Algorithm (MO-GOMEA) has been shown to be a promising solver for multi-objective combinatorial optimization problems, obtaining an excellent scalability on both standard benchmarks and real-world applications. To attain optimal performance, MOGOMEA requires its two parameters, namely the population size and the number of clusters, to be ...
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ژورنال
عنوان ژورنال: Swarm and Evolutionary Computation
سال: 2018
ISSN: 2210-6502
DOI: 10.1016/j.swevo.2018.02.005