Genetic algorithms for multiobjective scheduling of combined batch/continuous process plants

Shaw, K.J.; Lee, P.L.; Nott, H.P.; Thompson, M.

doi:10.1109/cec.2000.870309

Cited by 7 publications

(1 citation statement)

References 12 publications

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“…Vulcanization workshop scheduling is a typical NP-hard problem. At present, there are many algorithms studying on the vulcanization workshop scheduling, such as Wu proposed a heuristic based on the decomposition method to solve large-scale scheduling problem [1]; Harjunkoski and Grossmann proposed a methods of mathematical programming decomposition strategy to solve large-scale scheduling problem [2]; Shaw, introduce a genetic algorithms to search for scheduling mixed batch and continuous solution [3]; Moon and Murakami use a simulated annealing algorithm for solving the batch scheduling problem [4], and so on.…”

Section: Introductionmentioning

confidence: 99%

Study Chaos Double-Mutations Cooperation Particles Swarm Optimization and Application in Order-Type Vulcanization Workshop Scheduling

Nai-ping

Lin

2009

2009 Second International Workshop on Computer Science and Engineering

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according to the features of order-type vulcanization workshop scheduling, deficiencies of PSO, as well as the excellent characteristics of the chaos principle, target mutations, and cooperation particles, a new particle swarm optimization algorithm, that is, chaos double-mutations cooperation particles swarm optimization was proposed. This can maintain the diversity of particles, avoid results falling into local optimum and improve the algorithm's global search ability. Four optimization algorithm convergences were compared and the change orders of vulcanization workshop scheduling were stimulated by testing. Results show that it is very effective and the chaos double-mutations cooperation particles swarm optimization in solving the order-type vulcanization workshop scheduling was verified.

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Section: Introductionmentioning

confidence: 99%

Study Chaos Double-Mutations Cooperation Particles Swarm Optimization and Application in Order-Type Vulcanization Workshop Scheduling

Nai-ping

Lin

2009

2009 Second International Workshop on Computer Science and Engineering

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A Genetic Algorithm for Scheduling a Semi-Continuous Process Industry: A Case Study

Jalalian

Defersha

2019

IFAC-PapersOnLine

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Effect of crossover operators under multirecombination: weighted tardiness, a test case

Pedro

Pandolfi

Villagra

et al.

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)

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Phone/Fax : +54 0297 4854888Abstron: I n evolutionary algorithms based on genetics, the crossover operation creates individuals by exchange of genes. Seleclion mechanisms propitiate reproduction of better individuals imposing P direction on the search process: copier of better individuals replace worst ones. Consequently, part of the genetic material contained in these worst individuals vanisher forever. This loss of divemi@ can lead to B premature convergence. To prevent an early convergence to a local optimum under the same selection mechanism then, either a larger population sue or adequate genetic operators m e needed. Multirecombination daws multiple crossover operations on two or more parents each time a new individual is created.I n this work we show the influence on genetic diversity, quality of ICEUIS and required computational effort, when applying different crossover methods to a set of hard instances, selected as a test case, ofthe weighted tardiness scheduling problem in Single machine environments under multire-combined approaches. A description of the multirecombination variant used, experiments and preliminary results me reported. 0-7803-85 15-2/04/$20.00 0 2 0 0 4 IEEE

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Genetic algorithms for multiobjective scheduling of combined batch/continuous process plants

Cited by 7 publications

References 12 publications

Study Chaos Double-Mutations Cooperation Particles Swarm Optimization and Application in Order-Type Vulcanization Workshop Scheduling

Study Chaos Double-Mutations Cooperation Particles Swarm Optimization and Application in Order-Type Vulcanization Workshop Scheduling

A Genetic Algorithm for Scheduling a Semi-Continuous Process Industry: A Case Study

Effect of crossover operators under multirecombination: weighted tardiness, a test case

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