A survey on applications of the harmony search algorithm
This paper thoroughly reviews and analyzes the main characteristics and application
portfolio of the so-called Harmony Search algorithm, a meta-heuristic approach that has …
portfolio of the so-called Harmony Search algorithm, a meta-heuristic approach that has …
Hybrid bio-Inspired computational intelligence techniques for solving power system optimization problems: A comprehensive survey
I Rahman, J Mohamad-Saleh - Applied Soft Computing, 2018 - Elsevier
Optimization problems of modern day power system are very challenging to resolve
because of its design complexity, wide geographical dispersion and influence from many …
because of its design complexity, wide geographical dispersion and influence from many …
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 …
Optimal operation of a hydrogen station using multi-source renewable energy (solar/wind) by a new approach
W Zhang, A Maleki, MA Nazari - Journal of Energy Storage, 2022 - Elsevier
Optimization of renewable energy components is a complex and optimal balance between
the solar, wind components and hydrogen storage needs particular attention to minimize …
the solar, wind components and hydrogen storage needs particular attention to minimize …
A survey of the state of the art in particle swarm optimization
Meta-heuristic optimization algorithms have become popular choice for solving complex and
intricate problems which are otherwise difficult to solve by traditional methods. In the present …
intricate problems which are otherwise difficult to solve by traditional methods. In the present …
An intelligent tuned harmony search algorithm for optimisation
The Harmony Search (HS) algorithm is a population-based metaheuristic optimisation
algorithm. This algorithm is inspired by the music improvisation process in which the …
algorithm. This algorithm is inspired by the music improvisation process in which the …
Evolutionary algorithms for dynamic economic dispatch problems
The dynamic economic dispatch problem is a high-dimensional complex constrained
optimization problem that determines the optimal generation from a number of generating …
optimization problem that determines the optimal generation from a number of generating …
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 …
An efficient modified HPSO-TVAC-based dynamic economic dispatch of generating units
This paper proposes a novel particle swarm optimization (PSO) algorithm with population
reduction, which is called modified new self-organizing hierarchical PSO with jumping time …
reduction, which is called modified new self-organizing hierarchical PSO with jumping time …
A new reinforcement learning-based memetic particle swarm optimizer
Developing an effective memetic algorithm that integrates the Particle Swarm Optimization
(PSO) algorithm and a local search method is a difficult task. The challenging issues include …
(PSO) algorithm and a local search method is a difficult task. The challenging issues include …