AIEOU: Automata-based improved equilibrium optimizer with U-shaped transfer function for feature selection
出版年份 2021 全文链接
标题
AIEOU: Automata-based improved equilibrium optimizer with U-shaped transfer function for feature selection
作者
关键词
Meta-heuristic, Optimization, Equilibrium optimizer, Learning automata, Adaptive , -hill climbing, Feature selection, Genetic Algorithm, Particle Swarm Optimization
出版物
KNOWLEDGE-BASED SYSTEMS
Volume 228, Issue -, Pages 107283
出版商
Elsevier BV
发表日期
2021-07-08
DOI
10.1016/j.knosys.2021.107283
参考文献
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- (2020) Hüseyin Özkaya et al. Materials Testing
- Embedded chaotic whale survival algorithm for filter–wrapper feature selection
- (2020) Ritam Guha et al. SOFT COMPUTING
- Adaptive $$\beta -$$ β - hill climbing for optimization
- (2019) Mohammed Azmi Al-Betar et al. SOFT COMPUTING
- Efficient Hybrid Nature-Inspired Binary Optimizers for Feature Selection
- (2019) Majdi Mafarja et al. Cognitive Computation
- Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification
- (2019) Yu Xue et al. ACM Transactions on Knowledge Discovery from Data
- Equilibrium optimizer: A novel optimization algorithm
- (2019) Afshin Faramarzi et al. KNOWLEDGE-BASED SYSTEMS
- Genetic algorithm based cancerous gene identification from microarray data using ensemble of filter methods
- (2018) Manosij Ghosh et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Multi-Objective Particle Swarm Optimization Approach for Cost-Based Feature Selection in Classification
- (2017) Yong Zhang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Hybrid Whale Optimization Algorithm with simulated annealing for feature selection
- (2017) Majdi M. Mafarja et al. NEUROCOMPUTING
- The Whale Optimization Algorithm
- (2016) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Yin-Yang-pair Optimization: A novel lightweight optimization algorithm
- (2016) Varun Punnathanam et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A Survey on Evolutionary Computation Approaches to Feature Selection
- (2016) Bing Xue et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- SCA: A Sine Cosine Algorithm for solving optimization problems
- (2016) Seyedali Mirjalili KNOWLEDGE-BASED SYSTEMS
- $$\beta$$ β -Hill climbing: an exploratory local search
- (2016) Mohammed Azmi Al-Betar NEURAL COMPUTING & APPLICATIONS
- The Ant Lion Optimizer
- (2015) Seyedali Mirjalili ADVANCES IN ENGINEERING SOFTWARE
- Prey-Predator Algorithm: A New Metaheuristic Algorithm for Optimization Problems
- (2015) Surafel Luleseged Tilahun et al. INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
- Multi-Verse Optimizer: a nature-inspired algorithm for global optimization
- (2015) Seyedali Mirjalili et al. NEURAL COMPUTING & APPLICATIONS
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Forest Optimization Algorithm
- (2014) Manizheh Ghaemi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Soccer league competition algorithm: A novel meta-heuristic algorithm for optimal design of water distribution networks
- (2014) Naser Moosavian et al. Swarm and Evolutionary Computation
- A survey on feature selection methods
- (2013) Girish Chandrashekar et al. COMPUTERS & ELECTRICAL ENGINEERING
- Black hole: A new heuristic optimization approach for data clustering
- (2012) Abdolreza Hatamlou INFORMATION SCIENCES
- S-shaped versus V-shaped transfer functions for binary Particle Swarm Optimization
- (2012) Seyedali Mirjalili et al. Swarm and Evolutionary Computation
- A note on the learning automata based algorithms for adaptive parameter selection in PSO
- (2010) A.B. Hashemi et al. APPLIED SOFT COMPUTING
- GSA: A Gravitational Search Algorithm
- (2009) Esmat Rashedi et al. INFORMATION SCIENCES
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