Hybrid metaheuristics and multi-agent systems for solving optimization problems: A review of frameworks and a comparative analysis-Reference-Cited by-同舟云学术

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Hybrid metaheuristics and multi-agent systems for solving optimization problems: A review of frameworks and a comparative analysis

Published:2018-10 Issue: Volume:71 Page:433-459
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Lopes Silva Maria Amélia,de Souza Sérgio Ricardo,Freitas Souza Marcone Jamilson^ORCID,de França Filho Moacir Felizardo

Publisher

Elsevier BV

Subject

Software

Reference134 articles.

1. A multi-agent approach to solving NP-complete problems. Master's thesis;Agerbeck,2008

2. Parallel Metaheuristics: A New Class of Algorithms;Alba,2005

3. Efficient parallel LAN/WAN algorithms for optimization. The Mallba Project;Alba;Parallel Computing,2006

4. MALLBA: a library of skeletons for combinatorial optimisation (research note);Alba,2002

5. MALLBA: a software library to design efficient optimisation algorithms;Alba;International Journal of Innovative Computing and Applications,2007

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