Multi-objective programming is commonly used in the literature when conflicted objectives
arise in solving optimization problems. Over the past decades, classical optimization …

Power generation system largely depends on fossil fuels to generate electricity. Due to
various reasons, the reserves of fossil fuels are declining and will become too expensive in …

A new global particle swarm optimization (NGPSO) algorithm is proposed to solve the
economic emission dispatch (EED) problems in this paper. NGPSO is different from the …

This paper presents the application of backtracking search algorithm (BSA) for solving an
economic/emission dispatch (EED) problem as a multi-objective optimization problem. BSA …

Abstract The Environmental and Economic Dispatch Problem with Valve-Point loading effect
representation (EEDP-VP) is a multi-objective, nonconvex and non-differentiable …

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 …

The collective decision optimization algorithm (CDOA) is a new stochastic population‐based
evolutionary algorithm which simulates the decision behavior of human. In this paper, a …

This paper proposes a methodology involving the primal-dual predictor-corrector
interior/exterior point, the progressive bounded constraints and the arctangent smoothing …

In the economic dispatch problem, the objective is to determine the active power output of
the generating units in order to supply the demand and minimize the fuel costs associated …

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 …