In this study, the Fast Non-Dominated Time-Varying Acceleration Coefficient-Particle Swarm
Optimization (TVAC-PSO) combined with Exchange Market Algorithm (EMA) is proposed to …

This work tackles a relatively new issue in power system operation, known as the
Environmental/Economic Dispatch problem. For this purpose, the combination of two …

This paper presents an Exchange Market Algorithm (stocktickerEMA) method for solving the
Economic Emission Dispatch (EED) problem including wind farms in the power systems …

Profit-based unit-commitment problem (PBUCP) is a notable combinatorial optimizing
problem faced in the deregulated power industry. The PBUCP finds the best profitable …

This paper introduces a novel evolutionary algorithm namely modified exchange market
algorithm (MEMA) to solve the various problems in the power system operation topics such …

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 …

In current years, hydrogen‐based power generation has emerged as an alternative energy
source for transportation and electricity. Hydrogen‐based power generation along with solar …

The combined heat and power economic dispatch (CHPED) problem is a non-convex
multivariate global optimization problem. The objective of the problem is to reduce total …

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 proposes a novel artificial bee colony with predation effect (ABCPE) algorithm for
tuning a proportional integral derivative (PID) controller. The mathematical model of ABCPE …