The sand cat swarm optimization algorithm (SCSO) is a recently proposed metaheuristic algorithm. It stimulates the hunting behavior of cat, which attacks or searches for prey according to sound frequency; each aims catch better prey. Therefore, will search location In SCSO algorithm, gradually approach its prey, makes strong exploitation ability. However, in later stage prone fall into local op...

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New optimization problems arise every day -for instance, what is the quickest path to work? Where and how congested is the road construction? Am I better off riding my bike? If so, what is the shortest path? Sometimes these problems are easily solved, but many engineering problems cannot be handled satisfactorily using traditional optimization methods. Engineering involves a wide class of probl...

a chaotic optimization algorithm (coa) based approach for the robust coordinated design of the upfc power oscillation damping controller and the conventional power system stabilizer has been investigated in this paper. chaotic optimization algorithms, which have the features of easy implementation, short execution time and robust mechanisms of escaping from local optimum, is a promising tool fo...

clustering is a widespread data analysis and data mining technique in many fields of study such as engineering, medicine, biology and the like. the aim of clustering is to collect data points. in this paper, a cultural algorithm (ca) is presented to optimize partition with n objects into k clusters. the ca is one of the effective methods for searching into the problem space in order to find a n...

This article summarizes the optimal strategies approaches for decision making under uncertainty conditions in case of engineering systems maintenance. The characteristics of uncertainty information and approaches to decision making based on optimization models are described. A generalized problem for the optimization predictive model for the diagnostic goals of engineering systems is shown.

An integrated part of modern design practice in both engineering and industry is simulation and optimization. Significant challenges still exist, though huge progress has been made in the last few decades. This 5th workshop on Computational Optimization, Modelling and Simulation (COMS 2014) at ICCS 2014 will summarize the latest developments of optimization and modelling and their applications ...

Linking enterprise-wide business decision making with engineering decision making is demonstrated by integrating the enterprise utility optimization and the engineering product development approach under a multilevel optimization framework. The analytical target cascading process is used to set the right targets for the engineering design process that maximize utility at the enterprise level. A...

This paper presents a method for assessing the quality of progressive design processes that seek to maximize the profitability of the product that is being designed. The proposed approach uses separations, a type of problem decomposition, to model progressive design processes. The subproblems in the separations correspond roughly to phases in the progressive design processes. We simulate the ch...

Beginning  in  2011  an  international  academic  contest  named  as  International  Student Competition  in  Structural  Optimization  (ISCSO)  has  been  organized  by  the  authors  to encourage undergraduate and graduate students to solve structural engineering optimization&nbs...