Finding a feasible solution set for optimization problems in conflict with objective functions
poses significant challenges. Moreover, in such problems, the level of complexity may …

An Optimal power flow (OPF) is non‐linear and constrained multi‐objective problem. OPF
problems are expensive and evolutionary algorithms (EAs) are computationally complex to …

In power systems, optimal power flow (OPF) is a complex and constrained optimization
problem in which quite often multiple and conflicting objectives are required to be optimized …

Optimal power flow solution gives the best secure operating point according to certain
objective functions and satisfying the operation constraints of the system. Different objective …

This paper proposes an adaptive grasshopper optimization algorithm (AGOA) for solving the
optimal power flow (OPF) problem with the optimal incorporation of a center-node unified …

In this study, a new meta-heuristic optimization method inspired by the behavioral choices of
animals and hunger-driven activities, called hunger games search (HGS), is suggested to …

Solution of optimal power flow (OPF) problem is very important for power system operation,
planning and energy management. OPF analysis aims to find the optimal solution of system …

For the wireless sensor networks (WSNs) heterogeneous node deployment optimization
problem with obstacles in the monitoring area, two new flower pollination algorithms (FPA) …

In this paper, a novel hybrid firefly-bat algorithm with constraints-prior object-fuzzy sorting
strategy (HFBA-COFS) is put forward to solve the strictly-constrained multi-objective optimal …

In this paper, a new multi-objective approach is suggested, known as multi-objective
backtracking search algorithm (MOBSA) in order to formulate and solve the optimal power …