A review on genetic algorithm: past, present, and future
S Katoch, SS Chauhan, V Kumar - Multimedia tools and applications, 2021 - Springer
In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic
algorithms of great interest in research community are selected for analysis. This review will …
algorithms of great interest in research community are selected for analysis. This review will …
Genetic algorithm: Theory, literature review, and application in image reconstruction
Genetic Algorithm (GA) is one of the most well-regarded evolutionary algorithms in the
history. This algorithm mimics Darwinian theory of survival of the fittest in nature. This …
history. This algorithm mimics Darwinian theory of survival of the fittest in nature. This …
QANA: Quantum-based avian navigation optimizer algorithm
H Zamani, MH Nadimi-Shahraki… - Engineering Applications of …, 2021 - Elsevier
Differential evolution is an effective and practical approach that is widely applied for solving
global optimization problems. Nevertheless, its effectiveness and scalability are decreased …
global optimization problems. Nevertheless, its effectiveness and scalability are decreased …
Genetic algorithm
S Mirjalili, S Mirjalili - Evolutionary algorithms and neural networks: theory …, 2019 - Springer
Genetic Algorithm (GA) is one of the first population-based stochastic algorithm proposed in
the history. Similar to other EAs, the main operators of GA are selection, crossover, and …
the history. Similar to other EAs, the main operators of GA are selection, crossover, and …
A novel random walk grey wolf optimizer
Abstract Grey Wolf Optimizer (GWO) algorithm is a relatively new algorithm in the field of
swarm intelligence for solving continuous optimization problems as well as real world …
swarm intelligence for solving continuous optimization problems as well as real world …
A framework to expedite joint energy-reserve payment cost minimization using a custom-designed method based on mixed integer genetic algorithm
In this paper, a methodology has been proposed to decrease the solution time of the joint
energy-reserve market clearing problem under Payment Cost Minimization (PCM) …
energy-reserve market clearing problem under Payment Cost Minimization (PCM) …
A critical review of moth-flame optimization algorithm and its variants: structural reviewing, performance evaluation, and statistical analysis
A growing trend of introducing new metaheuristic algorithms and their improvements is
observed with almost the same inherited weaknesses. The main reason is that a few studies …
observed with almost the same inherited weaknesses. The main reason is that a few studies …
A real coded genetic algorithm for solving integer and mixed integer optimization problems
In this paper, a real coded genetic algorithm named MI-LXPM is proposed for solving integer
and mixed integer constrained optimization problems. The proposed algorithm is a suitably …
and mixed integer constrained optimization problems. The proposed algorithm is a suitably …
Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems
Background Charcoal rot is a fungal disease that thrives in warm dry conditions and affects
the yield of soybeans and other important agronomic crops worldwide. There is a need for …
the yield of soybeans and other important agronomic crops worldwide. There is a need for …
An efficient optimization method for identifying parameters of soft structured clay by an enhanced genetic algorithm and elastic–viscoplastic model
Soft structured clays usually exhibit complex behaviors, which can lead to difficulties in the
determination of parameters and high testing costs. This paper aims to propose an efficient …
determination of parameters and high testing costs. This paper aims to propose an efficient …