Swarm intelligence is a fascinating area for the researchers in the field of optimization. Researchers have developed many algorithms by simulating the swarming behavior of various creatures like ants, honey bees, fishes, birds and their findings are very motivating. In this paper, a new approach for optimization is proposed by modeling the social behavior of spider monkeys. Spider monkeys have...

In this work, a hybrid Taguchi-Particle Swarm Optimization (TPSO) is proposed to solve global numerical optimization problems with continuous and discrete variables. This hybrid algorithm combines the well-known Particle Swarm Optimization Algorithm with the established Taguchi method, which has been an important tool for robust design. This paper presents the improvements obtained despite the ...

Design of blast resistant structures is an important subject in structural engineering, attracting the attention of governments, researchers, and engineers. Thus, given the benefits of optimization in engineering, development and assessment of optimization methods for optimum design of structures against blast is of great importance. In this research, multi-objective optimization of steel momen...

injection molding is the most widely used process for producing plastic parts.in this process, an important issue is to predict and optimize the warpage before manufacturing. in this paper, a simulation with moldflow software is proposed to optimize the injection molding process. the optimization process aims at minimizing the warpage of the critical injection molding part in which process para...

the main objective of this paper is to introduce a new intelligent optimization technique that uses a predictioncorrectionstrategy supported by a recurrent neural network for finding a near optimal solution of a givenobjective function. recently there have been attempts for using artificial neural networks (anns) in optimizationproblems and some types of anns such as hopfield network and boltzm...

Solving scientific and engineering problems from the real world is a very complicated task, currently; hence, development of powerful search optimization techniques great importance [...]

for large and complex reacting systems, computational efficiency becomes a critical issue in process simulation, optimization and model-based control. mechanism simplification is often a necessity to improve computational speed. we present a novel approach to simplification of reaction networks that formulates the model reduction problem as an optimization problem and solves it using genetic al...

cost optimization of the reinforced concrete cantilever soil retaining wall of a given height satisfying some structural and geotechnical design constraints is performed utilizing harmony search and improved harmony search algorithms. the objective function considered is the cost of the structure, and design is based on aci 318-05. this function is minimized subjected to design constraints. a n...