Strategic planning for optimal operation of modern power systems has always been a
significant task to satisfy the techno‐social aspects in the sustainable energy scenario. In the …

Owing to no free lunch theorem, meta-heuristic search algorithms, behaviour and
performance are different for solving specific class of optimization problems than another …

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 a multi-objective differential evolution (MODE) algorithm for
environmental/economic power dispatch (EED) problem. The EED problem is formulated as …

This paper presents the design and application of an efficient hybrid heuristic search method
to solve the practical economic dispatch problem considering many nonlinear characteristics …

Previous studies of distributed power and network focused only on the optimization of either
the microgrid load dispatch or reconfiguration power loss. Micorgrid economic load dispatch …

In this paper an economic emission load dispatch (EELD) problem is solved to minimize the
emission of nitrogen oxides (NOX) and fuel cost, considering both thermal generators and …

With the considerable increase of AI applications, AI is being increasingly used to solve
optimization problems in engineering. In the past two decades, the applications of artificial …

The economic emission dispatch (EED) problem of thermal generating units is a highly
complex combinatorial multi-constraint, non-convex optimization problem with conflicting …

This paper presents the combination of differential evolution (DE) and Biogeography-based
Optimization (BBO) algorithm to solve complex economic emission load dispatch (EELD) …