Genetic algorithms (GAs) have been widely used as soft computing techniques in various applications, while cooperative co-evolution algorithms were proposed in the literature to improve the performance of basic GAs. In this paper, a new cooperative co-evolution algorithm, namely ECCGA, is proposed in the application domain of pattern classification. Concurrent local and global evolution and con...

We have optimized the geometry and calculated interaction energies for over 100 different complexes of CO(2) with various combinations of electron accepting (Lewis acid) and electron donating (Lewis base) molecules. We have used the recently developed explicitly correlated coupled cluster singles doubles and perturbative triples [CCSD(T)-F12] methods and the associated VXZ-F12 (where X = D,T,Q)...

Cooperative co-evolution has been a major approach in neuro-evolution. Memetic computing approaches employ local refinement to selected individuals in a population. The use of crossover-based local refinement has gained attention in memetic computing. This work proposes a cooperative co-evolutionary framework that utilises the strength of local refinement from memetic computing. It employs a cr...

We have been investigating evolutionary methods to design behavioral strategies for intelligent robots in multi-agent environments. Such ~nvironments resemble an ecological system in which species evolve and adapt in a complex interaction with other evolving and adapting species. This paper will report on our investigations of alternative co-evolutionary approaches in the context of a simulated...

An EPQ model for the co-operative supply chain under the conditions of permissible delay in payments is developed in this work, in order to compare the co-operative supply chain with noncooperative supply chain; we also propose another EPQ model for the non-cooperative supply chain under the same conditions. In addition, we provide an efficient algorithm to obtain the optimal solution, and the ...

In real situations, individuals often have moderate tolerance toward ambient cooperative environment in which they tend to avoid unfavorable interactions and search for favorable ones. How such social tolerance affects the evolution of cooperation and the resulting cooperative networks remains to be answered. To address this issue, here we present an effective model of co-evolutionary prisoner'...

Qiangfu Zhao The University of Aizu Aizu-Wakamatsu, Japan 965-8580 [email protected] Abstract A pattern recognition system can often be considered as a symbiotic system consisting of many expert agents. Although each agent may only be able to recognize a limited number of patterns, when they are put together, they may form a very powerful system. In this paper, we study the learning of such ...