Metaheuristic optimization algorithms are tools based on mathematical concepts that are
used to solve complicated optimization issues. These algorithms are intended to locate or …

Efficient and cost-effective coordination of online generation facilities is essential to the
reliable operation multi-area power system (PS) especially in a deregulated environment …

This paper proposes a new methodology to optimize network topology and placement of
distributed generation (DG) in distribution network with an objective of reduction real power …

Abstract This paper proposes Improved Colliding Bodies Optimization (ICBO) algorithm to
solve efficiently the optimal power flow (OPF) problem. Several objectives, constraints and …

This study proposes a multi‐objective differential evolution algorithm (MO‐DEA) based on
forced initialisation to solve the optimal power flow (OPF) problem. The OPF problem is …

This paper addresses a robust multi-objective multi-period aggregate production planning
(APP) problem based on different scenarios under uncertain seasonal demand. The main …

This paper proposes a novel hybrid multi-objective algorithm named Multi-objective Spotted
Hyena and Emperor Penguin Optimizer (MOSHEPO) for solving both convex and non …

In the recent years, there are massive digital images collections in many fields of our life,
which led the technology to find methods to search and retrieve these images efficiently. The …

The teaching-learning-based optimizer (TLBO) algorithm is a powerful and efficient
optimization algorithm. However it is prone to getting stuck in local optima. In order to …

This paper proposes a new, efficient and powerful heuristic-hybrid algorithm using hybrid
DE (differential evolution) and PSO (particle swarm optimization) techniques DEPSO …