Application of stochastic and evolutionary optimization algorithms to base case problems-Reference-Cited by-同舟云学术

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Application of stochastic and evolutionary optimization algorithms to base case problems

Published:2020 Issue: Volume: Page:125-146
ISSN:
Container-title:Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes
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Author:

Venkateswarlu Ch.,Jujjavarapu Satya Eswari

Publisher

Elsevier

Reference34 articles.

1. Genetic Algorithms in Search. Optimization, and Machine Learning;Goldberg,1989

2. Solving the job shop scheduling problem with a parallel and agent-based local search genetic algorithm;Asadzadeh;J. Theor. Appl. Inf. Technol.,2014

3. A genetic algorithm for the flexible job-shop scheduling problem;Pezzella;Comput. Oper. Res.,2008

4. Multi agents approach for job shop scheduling problem using genetic algorithm and variable neighborhood search method;Phanden;Proc. 20th WMSCI,2016

5. A review of applications of genetic algorithms in operations management;Lee;Eng. Appl. Artif. Intell.,2018

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