Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Distributed constraint optimization (DCOP) provides a framework for coordinated decision making by a team of agents. Often, during the decision making, capacity constraints on age...
We propose a selection scheme called Fitness-based Neighbor Selection (FNS) for multimodal optimization. The FNS is aimed for ill-scaled and locally multimodal domain, both found ...
Abstract- Particle Swarm Optimization (PSO) has successfully been applied to many optimization problems. One particularly interesting aspect of these algorithms is to study the com...
Optimization of a similarity metric is an essential component in most medical image registration approaches based on image intensities. The increasing availability of parallel comp...