Offshore wind resources are more abundant and stronger and they blow more consistently
than land-based wind resources. While gale force winds are easier to hit on the sea, the …

This paper presents the application of one of the latest swarm intelligence algorithms, the
grey wolf optimizer, for solving economic dispatch problems that are nonlinear, non-convex …

Optimization problems of modern day power system are very challenging to resolve
because of its design complexity, wide geographical dispersion and influence from many …

This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with
adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an …

Abstract Economic Load Dispatch (ELD) is the process of allocating the required load
between the available generation units such that the cost of operation is minimized. The …

This paper presents backtracking search algorithm (BSA) for solving economic dispatch
(ED) problems with considering valve-point loading effects, prohibited operating zones, and …

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

In this paper a new modified artificial bee colony algorithm (MABC) is proposed to solve the
economic dispatch problem by taking into account the valve-point effects, the emission …

Abstract ELD (Economic Load Dispatch) is the process of allocating the required load
between the available generation units such that the cost of operation is minimized. The …

In the present paper, a novel meta-heuristic algorithm, namely quasi-oppositional search-
based political optimizer (QOPO), is proposed to solve a non-convex single and bi-objective …