Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
An adaptive memory heuristic for a class of vehicle routing problems with minmax objective
Computers and Operations Research
The ant colony optimization meta-heuristic
New ideas in optimization
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A-Teams: An Agent Architecture for Optimization and Decision Support
ATAL '98 Proceedings of the 5th International Workshop on Intelligent Agents V, Agent Theories, Architectures, and Languages
Complete MCS-based search: application to resource constrained project scheduling
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Web Accessible A-Team Middleware
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
Solving the RCPSP/max Problem by the Team of Agents
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
A-Team Middleware on a Cluster
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
A-Teams and Their Applications
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Experimental evaluation of the A-Team solving instances of the RCPSP/max problem
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part II
Evaluation of agents performance within the a-team solving RCPSP/max problem
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume PartI
JABAT middleware as a tool for solving optimization problems
Transactions on computational collective intelligence II
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JABAT is a middleware supporting the construction of the dedicated A-Team architecture that can be used for solving variety of computationally hard optimization problems. The paper includes a general overview of the JABAT followed by a description and evaluation of the architecture designed by the authors with a view to solving RCPSP and MRCPSP instances. To construct the proposed system a number of agents, each representing a different optimization algorithm including local search, tabu search, as well as several specialized heuristics have been used. The system has been evaluated experimentally through solving a set of benchmark instances of the RCPSP and MRCPSP.