The clustering problem under the criterion of minimum sum of squares is a non-convex and non-linear program, which possesses many locally optimal values, resulting that its solution often falls into these trap and therefore cannot converge to global optima solution. In this paper, an efficient hybrid optimization algorithm is developed for solving this problem, called Tabu-KM. It gathers the ...

Researchers laid the foundation of evolutionary algorithms in the late 60s and since then, heuristic algorithms have been widely applied to several complex scheduling and sequencing problems during the recent studies. In this paper, memetic algorithm (MA), genetic algorithm (GA) and simulated annealing (SA) are applied to a complex sequencing problem. The problem under study concerns about sequ...

The path length of multiple unmanned aerial vehicle (multi-UAV) has a certain impact on the task allocation multi-UAV. In order to improve efficiency multi-UAV and reduce loss during process performing tasks, this paper takes as one influencing factors evaluation function. UAV length, performance, characteristics are taken addition, in genetic algorithm (GA) solving problem, proposes fusion bas...

Groundwater contamination due to leakage of gasoline is one of the several causes which affect the groundwater environment by polluting it. In the past few years, In-situ bioremediation has attracted researchers because of its ability to remediate the contaminant at its site with low cost of remediation. This paper proposed the use of a new hybrid algorithm to optimize a multi-objective functio...

inventory management in production-remanufacturing system has been receiving a great deal of attention in recent years. in literature review, production environment is composed of two sections. the first section is included: production process, remanufacturing process and other options considered in reverse logistics. the second section is included: collection and sorting processes. determinati...

A number of algorithms and strategies and their variations are currently being used for solving complex optimization problems. Genetic algorithms (GAs) are one of the best strategies for solving such problems basically due to their inherent parallel search capability. Other methods found useful in diverse application areas are simulated annealing, evolution strategies etc. The searching ability...

The forward kinematics of the 6-6 leg parallel manipulator is solved using hybrid meta-heuristic techniques in which the simulated annealing algorithm replaces the mutation operator in a genetic algorithm. The results are compared with the standard simulated annealing and genetic algorithm. It shows that the standard simulated annealing algorithm outperforms standard genetic algorithm in terms ...

Designing the architecture and correct parameters for the learning algorithm is a tedious task for modeling an optimal Artificial Neural Network (ANN), which is smaller, faster and with a better generalization performance. In this paper we explain how a hybrid algorithm integrating Genetic algorithm (GA), Simulated Annealing (SA) and other heuristic procedures can be applied for the optimal des...

delivering perishable products to customers as soon as possible and with the minimum cost has been always a challenge for producers and has been emphasized over recent years due to the global market becoming more competitive. in this paper a multi-objective mix integer non-linear programming model is proposed to maximize both profits of a distributer and the total freshness of the several produ...