Opposition-Based Learning: A New Scheme for Machine Intelligence
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-1 (CIMCA-IAWTIC'06) - Volume 01
A novel population initialization method for accelerating evolutionary algorithms
Computers & Mathematics with Applications
A Novel Opposition-Based Particle Swarm Optimization for Noisy Problems
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 03
Opposition versus randomness in soft computing techniques
Applied Soft Computing
A diversity maintaining population-based incremental learning algorithm
Information Sciences: an International Journal
Oppositional target domain estimation using grid-based simulation
Applied Soft Computing
Solving large scale optimization problems by opposition-based differential evolution (ODE)
WSEAS Transactions on Computers
Investigating in scalability of opposition-based differential evolution
SMO'08 Proceedings of the 8th conference on Simulation, modelling and optimization
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Space transformation search: a new evolutionary technique
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Opposition based initialization in particle swarm optimization (O-PSO)
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
An Enhanced Opposition-Based Particle Swarm Optimization
GCIS '09 Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01
A Novel Swarm Model With Quasi-oppositional Particle
IFITA '09 Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01
A New Population Initialization Method Based on Space Transformation Search
ICNC '09 Proceedings of the 2009 Fifth International Conference on Natural Computation - Volume 05
A Scalability Test for Accelerated DE Using Generalized Opposition-Based Learning
ISDA '09 Proceedings of the 2009 Ninth International Conference on Intelligent Systems Design and Applications
A Modified Differential Evolution Algorithm and Its Application to Engineering Problems
SOCPAR '09 Proceedings of the 2009 International Conference of Soft Computing and Pattern Recognition
Free search differential evolution
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Center-based sampling for population-based algorithms
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Improving gradient-based learning algorithms for large scale feedforward networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A Novel PSO for Multi-stage Portfolio Planning
AICI '09 Proceedings of the 2009 International Conference on Artificial Intelligence and Computational Intelligence - Volume 04
Multiobjective Differential Evolution Based on Opposite Operation
CIS '09 Proceedings of the 2009 International Conference on Computational Intelligence and Security - Volume 01
Oppositional biogeography-based optimization
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Biogeography-based optimization of neuro-fuzzy system parameters for diagnosis of cardiac disease
Proceedings of the 12th annual conference on Genetic and evolutionary computation
CODEQ: an effective metaheuristic for continuous global optimisation
International Journal of Metaheuristics
Particle swarm optimization with opposition-based disturbance
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 2
A differential evolution based neural network approach to nonlinear system identification
Applied Soft Computing
A Hybrid Harmony Search Algorithm for Numerical Optimization
CASON '10 Proceedings of the 2010 International Conference on Computational Aspects of Social Networks
Diversity analysis of opposition-based differential evolution: an experimental study
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
Hybrid differential evolution algorithm with chaos and generalized opposition-based learning
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
A Hybrid Harmony Search Method Based on OBL
CSE '10 Proceedings of the 2010 13th IEEE International Conference on Computational Science and Engineering
History mechanism supported differential evolution for chess evaluation function tuning
Soft Computing - A Fusion of Foundations, Methodologies and Applications
History mechanism supported differential evolution for chess evaluation function tuning
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Knowledge of opposite actions for reinforcement learning
Applied Soft Computing
Opposition-based artificial bee colony algorithm
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Dynamic regional harmony search with opposition and local learning
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
A modified artificial bee colony algorithm
Computers and Operations Research
Opposition-based learning in compact differential evolution
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part I
Enhancing particle swarm optimization using generalized opposition-based learning
Information Sciences: an International Journal
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I
HPCA'09 Proceedings of the Second international conference on High Performance Computing and Applications
HPCA'09 Proceedings of the Second international conference on High Performance Computing and Applications
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems
A global best artificial bee colony algorithm for global optimization
Journal of Computational and Applied Mathematics
IEEE Transactions on Evolutionary Computation
Molecular docking with opposition-based differential evolution
Proceedings of the 27th Annual ACM Symposium on Applied Computing
An intuitive distance-based explanation of opposition-based sampling
Applied Soft Computing
Opposition-based learning in the shuffled differential evolution algorithm
Soft Computing - A Fusion of Foundations, Methodologies and Applications
An opposition-based chaotic GA/PSO hybrid algorithm and its application in circle detection
Computers & Mathematics with Applications
A Hybrid Differential Evolution Algorithm with Opposition-based Learning
IHMSC '12 Proceedings of the 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics - Volume 01
Journal of Parallel and Distributed Computing
A hybrid algorithm for artificial neural network training
Engineering Applications of Artificial Intelligence
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Diverse forms of opposition are already existent virtually everywhere around us, and utilizing opposite numbers to accelerate an optimization method is a new idea. Since 2005, opposition-based learning is a fast growing research field in which a variety of new theoretical models and technical methods have been studied for dealing with complex and significant problems. As a result, an increasing number of works have thus proposed. This paper provides a survey on the state-of-the-art of research, reported in the specialized literature to date, related to this framework. This overview covers basic concepts, theoretical foundation, combinations with intelligent algorithms, and typical application fields. A number of challenges that can be undertaken to help move the field forward are discussed according to the current state of the opposition-based learning.