A multi-objective evolutionary artificial bee colony algorithm for optimizing network topology design
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"A multi-objective evolutionary arti..." refers methods in this paper
...These algorithms are non-dominated sorting genetic algorithm II (NSGA-II) [87] and Pareto-dominance particle swarm optimization (PDPSO) [88], and two recent variants of the decomposition based multiobjective evolutionary algorithm by Gee et al....
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...Furthermore, a comparative analysis is also done with non-dominated sorting genetic algorithm II (NSGA-II), Pareto-dominance particle swarm optimization (PDPSO) algorithm and two recent variants of decomposition based multiobjective evolutionary algorithms, namely, MOEA/D-1 and MOEA/D-2....
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6,657Â citations
"A multi-objective evolutionary arti..." refers background in this paper
...That is, if one tries to optimize one objective, then at least one other objective must be negatively affected [30]....
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5,265Â citations
"A multi-objective evolutionary arti..." refers background in this paper
...The classical version of ABC algorithm consists of two essential components, namely, food sources and agents [42]....
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...Results indicate that EMOABC demonstrated superior performance than all the other algorithms....
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...Comparison of EMOABC with MOABC and the standard ABC (SABC) shows better performance of EMOABC....
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...This paper presents a goal programming-based multi-objective artificial bee colony optimization (MOABC) algorithm to solve the problem of topological design of distributed local area networks (DLANs)....
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...The effect of control parameters of MOABC is investigated....
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5,104Â citations