Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, bio...

Recently, increasing interest has been shown in applying the concept of Pareto-optimality to mach...

Incorporation of a priori knowledge, such as expert knowledge, meta-heuristics and human preferen...

Evolutionary computation is a class of problem optimization methodology with the inspiration from...

This book and its sister volume, LNAI 3613 and 3614, constitute the proce- ings of the Second Int...

This volume constitutes the proceedings of the 10th International Conference on Simulated Evoluti...

Fuzzy rule systems have found a wide range of applications in many fields of science and technolo...

This book constitutes the refereed proceedings of the 9th International Conference on Evolutionar...

Fuzzy rule systems have found a wide range of applications in many fields of science and technolo...

Evolutionary computation (EC) techniques are e?cient nature-inspired pl- ning and optimization me...

Self-organizing approaches inspired from biological systems, such as social insects, genetic, mol...

Evolutionary Computation (EC) deals with problem solving, optimization, and machine learning tech...