An Improved Crow Search Algorithm Applied to Energy Problems

Abstract

Abstract:The efficient use of energy in electrical systems has become a relevant topic due to its environmental impact. Parameter identification in induction motors and capacitor allocation in distribution networks are two representative problems that have strong implications in the massive use of energy. From an optimization perspective, both problems are considered extremely complex due to their non-linearity, discontinuity, and high multi-modality. These characteristics make difficult to solve them by using standard optimization techniques. On the other hand, metaheuristic methods have been widely used as alternative optimization algorithms to solve complex engineering problems. The Crow Search Algorithm (CSA) is a recent metaheuristic method based on the intelligent group behavior of crows. Although CSA presents interesting characteristics, its search strategy presents great difficulties when it faces high multi-modal formulations. In this paper, an improved version of the CSA method is presented to solve complex optimization problems of energy. In the new algorithm, two features of the original CSA are modified: (I) the awareness probability (AP) and (II) the random perturbation. With such adaptations, the new approach preserves solution diversity and improves the convergence to difficult high multi-modal optima. In order to evaluate its performance, the proposed algorithm has been tested in a set of four optimization problems which involve induction motors and distribution networks. The results demonstrate the high performance of the proposed method when it is compared with other popular approaches.

Crow Search Algorithm: Theory, Recent Advances, and Applications

“…In [109], Zhang and Huang added an inertia weight factor and used the Roulette wheel as a selection scheme. Likewise, Díaz et al [110] developed another improvement to CSA and applied the new version to solve energy optimization problems. Also, in [111], Gupta et al introduced an improved CSA version called optimized CSA (OCSA).…”

Biometric key generation using crow algorithm

“…The crow search algorithm (CSA) is a recent metaheuristic method based on the intelligent group behavior of crows. Although CSA presents interesting characteristics, its search strategy presents great difficulties when it faces high multi-modal formulations [21]. The recent metaheuristic algorithm which is crow search algorithm has been developed by Alireza Askarzadeh [22], it is inspired by the crow intelligent behavior.…”

Hybrid Crow Search Algorithm - Simulated Annealing untuk Menyelesaikan Vehicle Routing Problem with Time Windows

“…Crow Search Algorithm (CSA) adalah algoritma yang terinspirasi dari kecerdasan perilaku gagak. Gagak berperilaku seperti intelijen memiliki kewaspadaan, mengenali wajah, memperingatkan kawanan yang berpotensi tidak aman, dan mengingat tempat menyembunyikan makanan [6]. CSA memiliki dua parameter yaitu jarak terbang dan probabilitas kewaspadaan gagak.…”