A Development Framework for Rapid Metaheuristics Hybridization

A Development Framework for Rapid Metaheuristics Hybridization

While meta-heuristics are effective for solving large-scale combinatorial optimization problems, they result from time-consuming trial-and-error algorithm design tailored to specific problems. For this reason, a software tool for rapid prototyping of algorithms would save considerable resources. Thi...

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Bibliographic Details
Main Authors: LAU, Hoong Chuin, LIM, M. K., Wan, W. C., Halim, S.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2004
Subjects:
Artificial Intelligence and Robotics
Business
Operations Research, Systems Engineering and Industrial Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/1129
https://ink.library.smu.edu.sg/context/sis_research/article/2128/viewcontent/COMPSAC05_MDF.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/1129
https://ink.library.smu.edu.sg/context/sis_research/article/2128/viewcontent/COMPSAC05_MDF.pdf

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