An optimization algorithm inspired by the States of Matter that improves the balance between exploration and exploitation
Published 2013 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An optimization algorithm inspired by the States of Matter that improves the balance between exploration and exploitation
Authors
Keywords
Evolutionary algorithms, Global optimization, Nature-inspired algorithms
Journal
APPLIED INTELLIGENCE
Volume 40, Issue 2, Pages 256-272
Publisher
Springer Nature
Online
2013-07-13
DOI
10.1007/s10489-013-0458-0
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An improved PSO algorithm with a territorial diversity-preserving scheme and enhanced exploration–exploitation balance
- (2013) Behrooz Ostadmohammadi Arani et al. Swarm and Evolutionary Computation
- A novel method for coevolving PS-optimizing negotiation strategies using improved diversity controlling EDAs
- (2012) Jeonghwan Gwak et al. APPLIED INTELLIGENCE
- Effective local evolutionary searches distributed on an island model solving bi-objective optimization problems
- (2012) Hossein Rajabalipour Cheshmehgaz et al. APPLIED INTELLIGENCE
- Optimizing the modified fuzzy ant-miner for efficient medical diagnosis
- (2012) Thannob Aribarg et al. APPLIED INTELLIGENCE
- A modified gravitational search algorithm for slope stability analysis
- (2012) Mohammad Khajehzadeh et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- An Intelligent Tuned Harmony Search algorithm for optimisation
- (2012) Parikshit Yadav et al. INFORMATION SCIENCES
- Tabu search with multi-level neighborhood structures for high dimensional problems
- (2011) Abdel-Rahman Hedar et al. APPLIED INTELLIGENCE
- LADPSO: using fuzzy logic to conduct PSO algorithm
- (2011) Mohammad Sadegh Norouzzadeh et al. APPLIED INTELLIGENCE
- CLA-DE: a hybrid model based on cellular learning automata for numerical optimization
- (2011) R. Vafashoar et al. APPLIED INTELLIGENCE
- Particle swarm algorithm with hybrid mutation strategy
- (2011) Hao Gao et al. APPLIED SOFT COMPUTING
- Differential Evolution algorithm with Separated Groups for multi-dimensional optimization problems
- (2011) Adam P. Piotrowski et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- An effective memetic differential evolution algorithm based on chaotic local search
- (2011) Dongli Jia et al. INFORMATION SCIENCES
- A hybrid shuffled complex evolution approach based on differential evolution for unconstrained optimization
- (2010) Viviana Cocco Mariani et al. APPLIED MATHEMATICS AND COMPUTATION
- Parameter tuning of PBIL and CHC evolutionary algorithms applied to solve the Root Identification Problem
- (2010) R. Joan-Arinyo et al. APPLIED SOFT COMPUTING
- Differential evolution algorithm with ensemble of parameters and mutation strategies
- (2010) R. Mallipeddi et al. APPLIED SOFT COMPUTING
- Filter modeling using gravitational search algorithm
- (2010) Esmat Rashedi et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Diversity Management in Evolutionary Many-Objective Optimization
- (2010) Salem F. Adra et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Diversity Through Multiculturality: Assessing Migrant Choice Policies in an Island Model
- (2010) Lourdes Araujo et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Balancing Population- and Individual-Level Adaptation in Changing Environments
- (2009) Ingo Paenke et al. ADAPTIVE BEHAVIOR
- Lipschitz and Hölder global optimization using space-filling curves
- (2009) D. Lera et al. APPLIED NUMERICAL MATHEMATICS
- A hybrid self-adaptive evolutionary algorithm for marker optimization in the clothing industry
- (2009) Iztok Fister et al. APPLIED SOFT COMPUTING
- Preserving and Exploiting Genetic Diversity in Evolutionary Programming Algorithms
- (2009) Gang Chen et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Multi-population co-genetic algorithm with double chain-like agents structure for parallel global numerical optimization
- (2008) Yongming Li et al. APPLIED INTELLIGENCE
- Enhancing the performance of differential evolution using orthogonal design method
- (2008) Wenyin Gong et al. APPLIED MATHEMATICS AND COMPUTATION
- Modifications of real code genetic algorithm for global optimization
- (2008) Ioannis G. Tsoulos APPLIED MATHEMATICS AND COMPUTATION
- Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization
- (2008) K.C. Tan et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Global optimization based on novel heuristics, low-discrepancy sequences and genetic algorithms
- (2008) A. Georgieva et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Replacement strategies to preserve useful diversity in steady-state genetic algorithms
- (2008) M LOZANO et al. INFORMATION SCIENCES
- A general framework for statistical performance comparison of evolutionary computation algorithms
- (2008) David Shilane et al. INFORMATION SCIENCES
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More