A comparative study of GA and PSO approach for cost optimisation in product recovery systems-Reference-Cited by-同舟云学术

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A comparative study of GA and PSO approach for cost optimisation in product recovery systems

Published:2022-02-18 Issue:4 Volume:61 Page:1283-1297
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Dwivedi Ashish¹,Madaan Jitender²,Chan Felix T. S.³,Dalal Mohit⁴

Affiliation:

1. Jindal Global Business School, O P Jindal Global University, Sonipat, India

2. Department of Management Studies, Indian Institute of Technology Delhi, New Delhi, India

3. Department of Decision Sciences, Macau University of Science and Technology, Taipa, Macao

4. Department of Mechanical Engineering, Indian Institute of Technology Delhi, New Delhi, India

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2022.2035008

Reference74 articles.

1. A set of calibrated metaheuristics to address a closed-loop supply chain network design problem under uncertainty

2. A genetic algorithm for scheduling open shops with sequence-dependent setup times

3. Genetic algorithm based scheduling of parallel batch machines with incompatible job families to minimize total weighted tardiness

4. A novel particle swarm and genetic algorithm hybrid method for diesel engine performance optimization

5. Application-Aware Dynamic Fine-Grained Resource Provisioning in a Virtualized Cloud Data Center

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