Particle swarm optimization: A comprehensive survey
Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms
in the literature. Although the original PSO has shown good optimization performance, it still …
in the literature. Although the original PSO has shown good optimization performance, it still …
Differential evolution with multi-population based ensemble of mutation strategies
Differential evolution (DE) is among the most efficient evolutionary algorithms (EAs) for
global optimization and now widely applied to solve diverse real-world applications. As the …
global optimization and now widely applied to solve diverse real-world applications. As the …
Ensemble of differential evolution variants
Differential evolution (DE) is one of the most popular and efficient evolutionary algorithms for
numerical optimization and it has gained much success in a series of academic benchmark …
numerical optimization and it has gained much success in a series of academic benchmark …
Application of differential evolution algorithm in static and dynamic economic or emission dispatch problem: A review
Abstract Economic Load Dispatch (ELD) is an imperative assignment in contemporary
aggressive power demand market. Dearth of power generation in all dimensions of energy …
aggressive power demand market. Dearth of power generation in all dimensions of energy …
[HTML][HTML] A hybrid Harris Hawks optimizer for economic load dispatch problems
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 …
adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an …
A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO)
In this study we present a new and effective grou** optimization algorithm (namely, the
Turbulent Flow of Water-based Optimization (TFWO)), inspired from a nature search …
Turbulent Flow of Water-based Optimization (TFWO)), inspired from a nature search …
Multiple adaptive strategies based particle swarm optimization algorithm
Although particle swarm optimization algorithm (PSO) has displayed promising performance
on many optimization problems, how to balance contradictions between the exploration and …
on many optimization problems, how to balance contradictions between the exploration and …
A novel hybrid differential evolution and symbiotic organisms search algorithm for size and shape optimization of truss structures under multiple frequency constraints
Although a large number of metaheuristic algorithms and their variants have been proposed
for many engineering optimization problems, no paradigms hybridized by differential …
for many engineering optimization problems, no paradigms hybridized by differential …
MOSHEPO: a hybrid multi-objective approach to solve economic load dispatch and micro grid problems
G Dhiman - Applied Intelligence, 2020 - Springer
This paper proposes a novel hybrid multi-objective algorithm named Multi-objective Spotted
Hyena and Emperor Penguin Optimizer (MOSHEPO) for solving both convex and non …
Hyena and Emperor Penguin Optimizer (MOSHEPO) for solving both convex and non …
[HTML][HTML] The corona virus search optimizer for solving global and engineering optimization problems
In this paper, a new and effective meta-heuristic method named corona-virus search
optimizer (CVSO) is proposed inspired based on the movement and search of the corona …
optimizer (CVSO) is proposed inspired based on the movement and search of the corona …