Diversity controlling genetic algorithm for order acceptance and scheduling problem

DOI10.1155/2014/367152zbMath1407.90354OpenAlexW2040756649WikidataQ59064659 ScholiaQ59064659MaRDI QIDQ1718199

Cheng Chen, Ren-Jie He, Zhen-Yu Yang, Yue-jin Tan

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/367152

Mathematics Subject Classification ID

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

Cites Work

• A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time-windows
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• A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem
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• Order acceptance using genetic algorithms
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• Maximizing the value of a space mission
• Genetic algorithm crossover operators for ordering applications
• A genetic algorithm for the generalised assignment problem
• Hybrid genetic algorithm for optimization problems with permutation property
• Pricing and scheduling decisions with leadtime flexibility
• Exploration and exploitation in evolutionary algorithms
• Genetic Algorithms and Random Keys for Sequencing and Optimization
• A Hybrid Genetic Algorithm for Multidepot and Periodic Vehicle Routing Problems

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