[HTML][HTML] IHAOAVOA: An improved hybrid aquila optimizer and African vultures optimization algorithm for global optimization problems
Y Xiao, Y Guo, H Cui, Y Wang, J Li… - Mathematical …, 2022 - aimspress.com
Aquila Optimizer (AO) and African Vultures Optimization Algorithm (AVOA) are two newly
developed meta-heuristic algorithms that simulate several intelligent hunting behaviors of …
developed meta-heuristic algorithms that simulate several intelligent hunting behaviors of …
[HTML][HTML] Comparative performance analysis of metaheuristic search algorithms in parameter extraction for various solar cell models
H Bakır - Environmental Challenges, 2023 - Elsevier
In today's technology, solar energy continues to be one of the leading renewable energy
sources in electricity production methods due to its abundance on the Earth's surface and its …
sources in electricity production methods due to its abundance on the Earth's surface and its …
Development of a Lévy flight and FDB-based coyote optimization algorithm for global optimization and real-world ACOPF problems
This article presents an improved version of the coyote optimization algorithm (COA) that is
more compatible with nature. In the proposed algorithm, fitness-distance balance (FDB) and …
more compatible with nature. In the proposed algorithm, fitness-distance balance (FDB) and …
Fitness-distance balance based artificial ecosystem optimisation to solve transient stability constrained optimal power flow problem
ABSTRACT The Transient Stability Constrained Optimal Power Flow (TSCOPF) has become
an important tool for power systems today. TSCOPF is a nonlinear optimisation problem …
an important tool for power systems today. TSCOPF is a nonlinear optimisation problem …
Dynamic fitness-distance balance-based artificial rabbits optimization algorithm to solve optimal power flow problem
H Bakır - Expert Systems with Applications, 2024 - Elsevier
Artificial rabbits optimization (ARO) is a swarm intelligence-based algorithm inspired by the
survival strategies of rabbits. Although ARO has a good convergence rate, it is prone to get …
survival strategies of rabbits. Although ARO has a good convergence rate, it is prone to get …
A new evolutionary optimization algorithm with hybrid guidance mechanism for truck-multi drone delivery system
Abstract Synchronization of the Traveling Salesman Problem with Drone (TSP-D) is one of
the most complex NP-hard combinatorial routing problems in the literature. The speeds …
the most complex NP-hard combinatorial routing problems in the literature. The speeds …
Levy flight and fitness distance balance-based coyote optimization algorithm for effective automatic generation control of PV-based multi-area power systems
In this paper, Levy flight and Fitness Distance Balance (FDB)-based coyote optimization
algorithm (LRFDBCOA) is proposed to improve the performance of automatic generation …
algorithm (LRFDBCOA) is proposed to improve the performance of automatic generation …
Improve coati optimization algorithm for solving constrained engineering optimization problems
The coati optimization algorithm (COA) is a meta-heuristic optimization algorithm proposed
in 2022. It creates mathematical models according to the habits and social behaviors of …
in 2022. It creates mathematical models according to the habits and social behaviors of …
Dynamic-fitness-distance-balance stochastic fractal search (dFDB-SFS algorithm): an effective metaheuristic for global optimization and accurate photovoltaic …
The stochastic fractal search (SFS) algorithm, among population-based metaheuristic
automation algorithms, is a robust optimization algorithm for solving optimization problems …
automation algorithms, is a robust optimization algorithm for solving optimization problems …
Modified reptile search algorithm for optimal integration of renewable energy sources in distribution networks
This paper introduces a Modified Reptile Search Algorithm (MRSA) designed to optimize the
operation of distribution networks (DNs) considering the growing integration of renewable …
operation of distribution networks (DNs) considering the growing integration of renewable …