An important objective of the Optimal Power Flow (OPF) problem is to minimize the
generation cost and keep the power outputs of generators, bus voltages, bus shunt …

Abstract Incremental Artificial Bee Colony algorithm with Local Search (IABC-LS) is one of
efficient variant of artificial bee colony optimization which was successfully applied to …

This paper presents a new optimization technique developed based on harmony search
algorithm (HSA), called chaotic improved harmony search algorithm (CIHSA). In the …

This paper presents a multi‐objective optimal power flow technique using particle swarm
optimization. Two conflicting objectives, generation cost, and environmental pollution are …

Today it is very important to consider environmental effects in economic power dispatch
problems as well. These kinds of problems, which are called environmental economic power …

An efficient meta-heuristic algorithm-based multi-objective optimization (MOO) technique for
solving the multi-objective optimal power flow (MO-OPF) problem using incremental power …

The conventional energy resources have limited reserves and their utilization is adversely
affecting the environment. Hence, it is necessary to generate electricity with the least cost …

This paper presents a new approach for scheduling of reactive power control variables for
voltage stability enhancement using particle swarm optimization (PSO). Cost function …

The multi-objective optimization algorithms (MOO) are used to obtain the best compromising
solutions when two or more objective functions need to be optimized simultaneously. The …

This paper presents an adaptive Hopfield neural network (AHNN) based methodology,
where the slope of the activation function is adjusted, for finding approximate Pareto …