Despite the good performance of Crow Search Algorithm (CSA) in dealing with global optimization problems, unfortunately it is not case respect to convergence performance. Conventional CSA exploration and exploitation are strongly dependent on proper setting awareness probability (AP) flight length (FL) parameters. In each problem, AP FL parameters set an ad hoc manner their values do change ove...

Computer-aided process planning represents the main link between computer-aided design and manufacturing. One of crucial tasks in is an operation sequencing problem. In order to find optimal plan, problem formulated as NP hard combinatorial To solve this problem, a novel genetic crow search approach (GCSA) proposed paper. The traditional CSA improved by employing strategies such tournament sele...

A crow search algorithm (CSA) was applied to perform the optimization of a running blade prosthetics (RBP) made composite materials like carbon fibre layers and cores acrylonitrile butadiene styrene (ABS). Optimization aims increase RBP displacement limited by Tsai-Wu failure criterion. Both criterion are predicted using artificial neural networks (ANN) trained with database constructed from fi...

job shop scheduling problem has significant importance in many researchingfields such as production management and programming and also combinedoptimizing. job shop scheduling problem includes two sub-problems: machineassignment and sequence operation performing. in this paper combination ofparticle swarm optimization algorithm (pso) and gravitational search algorithm(gsa) have been presented f...

this paper presents a strategy for using harmony search algorithm in facility layout optimization problems. in this paper an adapted harmony search algorithm is developed for solving facility layout optimization problems. this method finds an optimal facility arrangement in an existing layout. two real-world case studies are employed to demonstrate the efficiency of this model. a comparison is ...