But the issue with these cells is that they cannot work smartly and cannot detect the optimal power at their output. Hence, in this paper a nature-inspired algorithm Coyote Optimization Algorithm (COA) is used to track maximum power at the output terminal of the solar PV cell....
3.3. The Fractional- order coyote optimization algorithm (Fo-COA) Although the basic coyote optimization algorithm defines a new metaheuristic technique with proper results, in some optimization problems, this algorithm needs some improvements. The present study presents a new modification to resolve this...
3 Multi‑objective coyote optimization algorithm based on hybrid elite mechanism and Meta‑Lamarckian learning strategy 3.1 Coyote optimization algorithm COA is inspired by the behavior of coyotes and operates on a swarm-based approach. COA does not prioritize the wolf hierarchy and ...
To overcome the disadvantages of COA, we propose an improved coyote optimization algorithm (ICOA) for optimizing the placement of PVDGUs and determination of rated power of these PVDGUs for different objectives of two power systems, IEEE 33-bus distribution network and IEEE 69-bus distribution ...
Binary COAThe Coyote Optimization Algorithm (COA) is a bio-inspired optimization algorithm based on the intelligent behaviour of coyotes. COA was proposed recently and it considers the social organization of the coyotes and its adaptation to the environment in order to solve continuous optimization ...
In the presented paper, the functioning of the coyote optimization algorithm (COA) is described using the apparatus of generalized nets (GNs). The COA is a population-based metaheuristic for optimization inspired by the Canis latrans species. Based on a Universal GN-model of ...
In this work, COA algorithm is applied to identify different plants, and its performance is investigated and compared to that based on particle swarm optimization algorithm (PSOA), which is considered as one of the simplest and most popular optimization algorithms. The performance is investigated ...
the random number initialization mode in the standard coyote optimization algorithm(COA)is replaced by chaotic sequence.Such sequence is nonlinear and long-term unpredictable,these characteristics can effectively improve the diversity of the population in the optimization algorithm.Therefore,in this paper ...
Coyote optimization algorithm (COA) is a new meta-heuristic which mimics the social behavior of coyotes. COA suffers with stagnation problems and immature convergence while solving optimization problems. In this paper, the COA is hybridized with Laplace Crossover operator and new culture tendency ...
Hence, we propose a novel method known as chaotic coyote optimization algorithm (COA) based time weight-AdaBoost support vector machine (SVM) approach which can be used to attain the precise classifications in context. The proposed time weight-AdaBoost SVM can be used to circumvent the drift ...