We present a constrained shape optimisation problem solved via metaheuristic stochastic techniques. Genetic Algorithms are briefly reviewed and their adaptation to surface topography optimisation is studied. An application to flow optimisation issues is presented.

This paper introduces a framework based on multi-agent system for solving problems of combinatorial optimization. The framework allows running various metaheuristic algorithms simultaneously. By the collaboration of various metaheuristics, we can achieve better results in more classes of problems.

We survey recent advances obtained for the two-dimensional bin packing problem, with special emphasis on exact algorithms and e1ective heuristic and metaheuristic approaches. ? 2002 Elsevier Science B.V. All rights reserved.

The Annual Crop Planning (ACP) problem was a recently introduced problem in the literature. This study further expounds on this problem by presenting a new mathematical formulation, which is based on market economic factors. To determine solutions, a new local search metaheuristic algorithm is investigated which is called the enhanced Best Performance Algorithm (eBPA). eBPA's results are compar...

Path-relinking is major enhancement to heuristic search methods for solving combinatorial optimization problems, leading to significant improvements in both solution quality and running times. We review its fundamentals and implementation strategies, as well as advanced hybridizations with more elaborate metaheuristic schemes such as genetic algorithms and scatter search. Numerical examples are...

The p-median problem is defined as an optimization problem that is well known in the OR literature and has been extensively applied to, facility location. This paper reviews summarize of the literature on solution algorithm for the p-median problem. The concentrate is on the different proposed algorithms as well as exact algorithms, and heuristic or metaheuristic

Focus is limited and singular in many image capture devices. Therefore, different focused objects at distances are obtained a single taken. Image fusion can be defined as the acquisition of multiple by combining important information from two or more images into image. In this paper, new multi-focus method based on Bat Algorithm (BA) presented Multi-Scale Transform (MST) to overcome limitations...