This paper presents a variant of Quantum behaved Particle Swarm Optimization (QPSO) named Q-QPSO for solving global optimization problems. The Q-QPSO algorithm is based on the cha...
Abstract We propose a new Memetic Particle Swarm Optimization scheme that incorporates local search techniques in the standard Particle Swarm Optimization algorithm, resulting in a...
Y. G. Petalas, Konstantinos E. Parsopoulos, Michae...
Abstract. We introduce an approach to both image labeling and unsupervised image partitioning as different instances of the multicut problem, together with an algorithm returning ...
Abstract. Scientists are increasingly using dynamic programming languages like Matlab for prototyping and implementation. Effectively compiling Matlab raises many challenges due t...
Maxime Chevalier-Boisvert, Laurie J. Hendren, Clar...
Abstract. One of the most successful approaches in automated planning is to use heuristic state-space search. A popular heuristic that is used by a number of state-space planners i...
Menkes van den Briel, J. Benton, Subbarao Kambhamp...