In this paper, a quantum-inspired differential evolution algorithm for solving the N-queens problem is presented. The N-queens problem aims at placing N queens on an NxN chessboard, in such a way that no queen could capture any of the others. The proposed algorithm is a novel hybridization between differential evolution algorithms and quantum computing principles. Accordingly, differential evol...

This paper presents the results of comparative study differential evolution algorithms used as an alternative for tuning gains a PD+ type visual control structure, since PD or PID structures is not trivial. We made quantitative comparison using performance index ( <tex-math notation="LaTeX...

This paper investigates optimization in dynamic environments where the numbers of optima are unknown or fluctuating. The authors present a novel algorithm, Dynamic Population Differential Evolution (DynPopDE), which is specifically designed for these problems. DynPopDE is a Differential Evolution based multi-population algorithm that dynamically spawns and removes populations as required. The n...

In this contribution we present a study on the combination of Differential Evolution and the IPOP-CMAES algorithms. The hybrid algorithm has been constructed by using theMultiple Offspring Sampling framework, which allows the seamless combination of multiple metaheuristics in a dynamic algorithm capable of adjusting the participation of each of the composing algorithms according to their curren...

Geometric differential evolution (GDE) is a recently introduced formal generalization of traditional differential evolution (DE) that can be used to derive specific differential evolution algorithms for both continuous and combinatorial spaces retaining the same geometric interpretation of the dynamics of the DE search across representations. In this article, we first review the theory behind t...

the multivariate exponentially weighted moving average (mewma) control chart is one of the best statistical control chart that are usually used to detect simultaneous small deviations on the mean of more than one cross-correlated quality characteristics. the economic design of mewma control charts involves solving a combinatorial optimization model that is composed of a nonlinear cost function ...

In this paper a quantum inspired differential evolution algorithm (QDEA) for image registration is presented. Image registration is a fundamental task in almost every computer vision system. It aims to find the best transformation that allows the superimposing of the common parts of two images. The proposed algorithm is a novel hybridization between differential evolution algorithms and quantum...

As one of the most promising novel evolutionary algorithms, differential evolution has been demonstrated to be an efficient, effective and robust optimization method for nonlinear optimization. Nevertheless, the convergence rate of differential evolution is still far from ideal when it is applied to optimizing a computationally expensive objective function that is frequently encountered in engi...

In the present article we propose two novel variants of Differential Evolution (DE) namely Centroid Differential Evolution (CDE) and Differential Evolution with local Search (DELS) for solving unconstrained, single objective, optimization problems. Both the algorithms make use of geometric centroid to enhance the performance of basic DE in terms of average fitness function value as well as in t...

One of the most significant and effective criteria in the process of cutting dimensional rocks using the gang saw is the maximum energy consumption rate of the machine, and its accurate prediction and estimation can help designers and owners of this industry to achieve an optimal and economic process. In the present research work, it is attempted to study and provide models for predicting the m...