Reservoir optimization in water resources: a review
This paper reviews current optimization technique developed to solve reservoir operation
problems in water resources. The application of conventional, especially evolutionary …
problems in water resources. The application of conventional, especially evolutionary …
An overview of Gravitational Search Algorithm utilization in optimization problems
Gravitational Search Algorithm (GSA) is one of the recent nature inspired algorithms which is
capable to solve optimization problems. GSA is inspired by the Newtonian's law of gravity …
capable to solve optimization problems. GSA is inspired by the Newtonian's law of gravity …
A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms
In this paper, the algorithmic concepts of the Cuckoo-search (CK), Particle swarm
optimization (PSO), Differential evolution (DE) and Artificial bee colony (ABC) algorithms …
optimization (PSO), Differential evolution (DE) and Artificial bee colony (ABC) algorithms …
Optimal power flow using gravitational search algorithm
In this paper, gravitational search algorithm (GSA) is proposed to find the optimal solution for
optimal power flow (OPF) problem in a power system. The proposed approach is applied to …
optimal power flow (OPF) problem in a power system. The proposed approach is applied to …
Solution of non-convex economic load dispatch problem using Grey Wolf Optimizer
Abstract Grey Wolf Optimizer (GWO) is a recently developed meta-heuristic search algorithm
inspired by grey wolves (Canis lupus), which simulate the social stratum and hunting …
inspired by grey wolves (Canis lupus), which simulate the social stratum and hunting …
[HTML][HTML] Combined economic and emission dispatch solution using gravitational search algorithm
In this article, the Gravitational Search Algorithm (GSA) has been proposed to find the
optimal solution for Combined Economic and Emission Dispatch (CEED) problems. It is …
optimal solution for Combined Economic and Emission Dispatch (CEED) problems. It is …
Optimal reactive power dispatch using a gravitational search algorithm
This study presents a gravitational search algorithm (GSA) for reactive power dispatch
(RPD) problem. RPD is an optimisation problem that decreases grid congestion with one or …
(RPD) problem. RPD is an optimisation problem that decreases grid congestion with one or …
Economic emission load dispatch problem with valve-point loading using a novel quasi-oppositional-based political optimizer
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 …
based political optimizer (QOPO), is proposed to solve a non-convex single and bi-objective …
Solution of non-convex economic load dispatch problem for small-scale power systems using ant lion optimizer
Ant lion optimizer (ALO) is a newly developed population-based search algorithm inspired
by hunting mechanism of antlions and based on five steps of hunting the ants, ie, the …
by hunting mechanism of antlions and based on five steps of hunting the ants, ie, the …
A new rooted tree optimization algorithm for economic dispatch with valve-point effect
This work proposes a new optimization method called root tree optimization algorithm
(RTO). The robustness and efficiency of the proposed RTO algorithm is validated on a 23 …
(RTO). The robustness and efficiency of the proposed RTO algorithm is validated on a 23 …