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 …

The optimal power flow (OPF) of power system is to optimize the objective function such as
generation cost by adjusting control variables on the premise of satisfying operation …

Optimal power flow (OPF) is one of the most fundamental single/multi-objective, nonlinear,
and non-convex optimization problems in modern power systems. Renewable energy …

The behavior of natural phenomena has become one of the most popular sources for
researchers to design optimization algorithms for scientific, computing and engineering …

The paper proposes a new hybrid method based on cuckoo search (CSA) and sunflower
optimization (SFO) approach (called HCSA-SFO) for improving the performance of solutions …

Because of the No Free Lunch (NFL) rule, we are still under the way developing new
algorithms and improving the capabilities of the existed algorithms. Under consideration of …

This paper presents an evolved chimp optimization algorithm (ChOA) that uses greedy
search (GS) and opposition-based learning (OBL) to respectively increase the ChOA's …

Optimal power flow (OPF) problem solution is a crucial task for the operators and decision
makers to assign the best setting of the system components to obtain the most economic …

Abstract Coyote Optimization Algorithm (COA) has demonstrated efficient performance by
utilizing the multiple pack (subpopulation) mechanism. However, the fixed number of packs …

The chimp optimization algorithm (ChOA) is a hunting-based model and can be utilized as a
set of optimization rules to tackle optimization problems. Although ChOA has shown …