Multiple parents crossover operators: a new approach removes the overlapping solutions for sequencing problems

DOI10.1016/j.apm.2012.06.005zbMath1351.90170OpenAlexW2090200997MaRDI QIDQ727261

D. Kharzeev

Publication date: 6 December 2016

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2012.06.005

zbMATH Keywords

diversityflowshop scheduling problemsmulti-parents crossover operatorremoving redundant solutions

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (2)

A multi-parent genetic algorithm for the quadratic assignment problem ⋮ Group-shop scheduling with sequence-dependent set-up and transportation times

Cites Work

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• A hybrid genetic algorithm with dominance properties for single machine scheduling with dependent penalties
• The job shop tardiness problem: A decomposition approach
• A greedy genetic algorithm for the quadratic assignment problem
• Multi-parent extension of sequential constructive crossover for the travelling salesman problem
• A self-guided genetic algorithm for permutation flowshop scheduling problems
• Analysis of speciation and niching in the multi-niche crowding GA
• Benchmarks for basic scheduling problems
• Genetic algorithm integrated with artificial chromosomes for multi-objective flowshop scheduling problems
• Evolutionary Multi-Criterion Optimization

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