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How to Choose Solutions for Local Search in Multiobjective ...
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由 H Ishibuchi 著作被引用 25 次 — Abstract. This paper demonstrates that the performance of multiobjective me- metic algorithms (MOMAs) for combinatorial optimization strongly depends.
How to Choose Solutions for Local Search in Multiobjective ...
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由 H Ishibuchi 著作2010被引用 25 次 — This paper demonstrates that the performance of multiobjective memetic algorithms (MOMAs) for combinatorial optimization strongly depends on the choice of ...
How to choose solutions for local search in multiobjective ...
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We first examine the effect of the tournament size to choose good solutions for local search on the performance of MOMAs. Next we examine the effectiveness of ...
How to Choose Solutions for Local Search in Multiobjective ...
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How to strike a balance between local search and global search in multiobjective memetic algorithms for multiobjective 0/1 knapsack problems · Computer Science.
(PDF) How to choose solutions for local search in multiobjective ...
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This paper empirically examines the effect of the specification of the local search application probability on the performance of multiobjective memetic ...
How to Choose Solutions for Local Search in Multiobjective ...
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A memetic algorithm for tackling multiobjective optimization problems is presented. The algorithm employs the proven local search strategy used in the Pareto ...
How to Choose Solutions for Local Search in Multiobjective ... - CoLab
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We first examine the effect of the tournament size to choose good solutions for local search on the performance of MOMAs. Next we examine the effectiveness of ...
Memetic algorithms for evolutionary multiobjective combinatorial ...
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Among them are the choice of solutions to which local search is applied, the balance in computation load between local search and genetic search, and the timing ...
HCS: A New Local Search Strategy for Memetic Multiobjective ...
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How to Choose Solutions for Local Search in Multiobjective Combinatorial Memetic Algorithms · The hypervolume based directed search method for multi-objective ...
An investigation of new local search strategies in memetic ...
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由 M Du 著作2020被引用 19 次 — This work proposes two originally designed inter-subsystem LS methods for non-homogeneous redundancy allocation in multi-state series-parallel systems.