Many optimization problems have been successfully addressed using metaheuristic approaches. These approaches are frequently able to choose the best answer fast and effectively. Recently, use of swarm-based algorithms, a kind approach, has become more common. In this study, hybrid method called WOAGWO is proposed by combining Whale Optimization Algorithm (WOA) Grey Wolf (GWO). This aims realize ...

Jump functions are the {most-studied} non-unimodal benchmark in theory of randomized search heuristics, particular, evolutionary algorithms (EAs). They have significantly improved our understanding how EAs escape from local optima. However, their particular structure -- to leave optimum one can only jump directly global raises question representative such results are. For this reason, we propos...

In this paper, the effect of angle between predictor and corrector surfaces on the structural analysis is investigated. Two objective functions are formulated based on this angle and also the load factor. Optimizing these functions, and using the structural equilibrium path’s geometry, lead to two new constraints for the nonlinear solver. Besides, one more formula is achieved, which was p...

This paper proposes a modified sine cosine algorithm (MSCA) for discrete sizing optimization of truss structures. The original sine cosine algorithm (SCA) is a population-based metaheuristic that fluctuates the search agents about the best solution based on sine and cosine functions. The efficiency of the original SCA in solving standard optimization problems of well-known mathematical function...

this paper proposes a suitable benchmark for inefficient commercial bank branches by using data envelopment analysis (dea). in order to render an inefficient bank branch efficient, it is necessary to decrease inputs and increase outputs. as there are priorities for decreasing some certain inputs and increasing some certain outputs over other inputs and outputs, respectively, it is necessary to ...

Benchmarking plays a crucial role in both development of new optimization methods, and conducting proper comparisons between already existing particularly the field evolutionary computation. In this paper, we develop benchmark functions for bound-constrained single-objective that are based on zigzag function. The proposed function has three parameters control its behaviour difficulty resulting ...

soil conservation is one of the most important regulative functions of natural ecosystems. this function is of high importance in taleghan watershed due to high erosion quantity and sediment accumulation in taleghan dam reservoir. soil loss reduction, sedimentation control and fertility conservation were considered as different aspects of soil conservation. effect of land use and vegetation cov...