Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques-Reference-Cited by-同舟云学术

Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques

Published:2021-12 Issue: Volume:67 Page:100952
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Tharwat Alaa,Schenck Wolfram^ORCID

Publisher

Elsevier BV

Subject

General Mathematics,General Computer Science

Reference76 articles.

1. Simplex differential evolution;Ali;Acta Polytechnica Hungarica,2009

2. An economic method of computing lpτ-sequences;Antonov;USSR Computational Mathematics and Mathematical Physics,1979

3. A new efficient algorithm for generating the scrambled sobol’sequence;Atanassov,2002

4. Minimizing THD of multilevel inverters with optimal values of DC voltages and switching Angles Using Lshade-epsin Algorithm;Biswas,2017

5. Optimal placement of wind turbines in a windfarm using L-shade algorithm;Biswas,2017

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