Particle Swarm Optimization Algorithm, which proved to be a powerful unbiased optimization technique for sampling a large … enhancement is done using hybridized smoothening filters by The Particle Swarm Optimization algorithm and compared it with the … Genetic Algorithm …

-parallel and bridge systems is investigated. To solve the problem, a hybrid method based on Imperialism competitive algorithm and … genetics algorithm is used. The results of simulations demonstrate the superior performance of the proposed method in …

decomposition algorithm. Then, we present a hybrid genetic algorithm that uses the Dijkstra algorithm to evaluate solutions. Next …, we present a hybrid variable neighborhood search algorithm that uses the Dijkstra algorithm to calculate the cost of each … solution. Also, a relax-and-fix algorithm is proposed to find near-optimal feasible solutions for the problem. Computational …

practice. In this paper, we are proposing a hierarchical data-driven parallel memetic algorithm to solve the problem. A … algorithm has its own local elite set. Collaboration among parallel memetic algorithms is allowed, and a shared elite set is … created as a result. The main algorithm has multiple restarts, and a global elite set is maintained between those restarts …

important role in operation research. A variable neighborhood search (VNS) enhance genetic algorithm (VNSeGA) is presented to … minimize makespan of FJSP in this paper. In VNSeGA, genetic algorithm (GA) is used for the global exploration and VNS module …

into the consequences of introducing TSCs using computational experiments with a memetic algorithm metaheuristic. …

machines. Different to the simultaneous scheduling algorithm (SSA) used in the previous article (Neale & Cameron,1979), an … inserting algorithm (IA) is applied, in which firstly a pre-schedule is obtained through heuristic algorithm and then … increases the complexity of the problem. An inserting algorithm (IA) is proposed to solve the dynamic scheduling problem. It is …