- Home
- Publications
- Publication Search
- Publication Details
Title
Biogeography-based optimisation with chaos
Authors
Keywords
Biogeography-based optimisation algorithm, BBO, Chaos, Constrained optimisation, Chaotic maps, Optimisation
Journal
NEURAL COMPUTING & APPLICATIONS
Volume 25, Issue 5, Pages 1077-1097
Publisher
Springer Nature
Online
2014-04-24
DOI
10.1007/s00521-014-1597-x
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Chaotic Krill Herd algorithm
- (2014) Gai-Ge Wang et al. INFORMATION SCIENCES
- Let a biogeography-based optimizer train your Multi-Layer Perceptron
- (2014) Seyedali Mirjalili et al. INFORMATION SCIENCES
- A new improved krill herd algorithm for global numerical optimization
- (2014) Lihong Guo et al. NEUROCOMPUTING
- An effective krill herd algorithm with migration operator in biogeography-based optimization
- (2013) Gai-Ge Wang et al. APPLIED MATHEMATICAL MODELLING
- Hybrid krill herd algorithm with differential evolution for global numerical optimization
- (2013) Gai-Ge Wang et al. NEURAL COMPUTING & APPLICATIONS
- Binary bat algorithm
- (2013) Seyedali Mirjalili et al. NEURAL COMPUTING & APPLICATIONS
- Stud krill herd algorithm
- (2013) Gai-Ge Wang et al. NEUROCOMPUTING
- Optimization of Hydropower Reservoir Using Evolutionary Algorithms Coupled with Chaos
- (2013) V. Jothiprakash et al. WATER RESOURCES MANAGEMENT
- Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm
- (2012) SeyedAli Mirjalili et al. APPLIED MATHEMATICS AND COMPUTATION
- Krill herd: A new bio-inspired optimization algorithm
- (2012) Amir Hossein Gandomi et al. Communications in Nonlinear Science and Numerical Simulation
- Firefly algorithm with chaos
- (2012) A.H. Gandomi et al. Communications in Nonlinear Science and Numerical Simulation
- Biogeography-based optimization for constrained optimization problems
- (2012) Ilhem Boussaïd et al. COMPUTERS & OPERATIONS RESEARCH
- An improved biogeography based optimization approach for segmentation of human head CT-scan images employing fuzzy entropy
- (2012) Amitava Chatterjee et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Incorporating mutation scheme into krill herd algorithm for global numerical optimization
- (2012) Gaige Wang et al. NEURAL COMPUTING & APPLICATIONS
- S-shaped versus V-shaped transfer functions for binary Particle Swarm Optimization
- (2012) Seyedali Mirjalili et al. Swarm and Evolutionary Computation
- Hybridizing Biogeography-Based Optimization With Differential Evolution for Optimal Power Allocation in Wireless Sensor Networks
- (2011) Ilhem Boussaid et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
- (2011) Joaquín Derrac et al. Swarm and Evolutionary Computation
- Two-stage update biogeography-based optimization using differential evolution algorithm (DBBO)
- (2010) Ilhem Boussaïd et al. COMPUTERS & OPERATIONS RESEARCH
- Blended biogeography-based optimization for constrained optimization
- (2010) Haiping Ma et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Hybrid Differential Evolution With Biogeography-Based Optimization for Solution of Economic Load Dispatch
- (2010) Aniruddha Bhattacharya et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization
- (2010) Wenyin Gong et al. SOFT COMPUTING
- Biogeography-Based Optimization
- (2008) D. Simon IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization
- (2008) Salvador García et al. JOURNAL OF HEURISTICS
Publish 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 MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started