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Solving large scale optimization problems by opposition-based differential evolution (ODE)
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Investigating in scalability of opposition-based differential evolution
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SRDE: an improved differential evolution based on stochastic ranking
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Center-based initialization for large-scale black-box problems
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Gene Sorting in Differential Evolution
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Hybrid differential evolution based on fuzzy C-means clustering
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
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IEEE Transactions on Evolutionary Computation
Differential evolution using a neighborhood-based mutation operator
IEEE Transactions on Evolutionary Computation
Preserving and exploiting genetic diversity in evolutionary programming algorithms
IEEE Transactions on Evolutionary Computation
Enhancing differential evolution frameworks by scale factor local search: part I
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
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CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Enhancing differential evolution frameworks by scale factor local search: part II
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Multi-objective evolutionary algorithm based on adaptive discrete differential evolution
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
An integrated framework of hybrid evolutionary computations
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
Differential evolution with laplace mutation operator
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Recent advances in differential evolution: a survey and experimental analysis
Artificial Intelligence Review
Biogeography-based optimization and the solution of the power flow problem
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Oppositional biogeography-based optimization
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
P system model optimisation by means of evolutionary based search algorithms
Proceedings of the 12th annual conference on Genetic and evolutionary computation
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
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Study on particle swarm optimization algorithm with local interpolation search
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 1
An improved quantum-behaved particle swarm optimization algorithm
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 2
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 clustering-based differential evolution for global optimization
Applied Soft Computing
A differential evolution based neural network approach to nonlinear system identification
Applied Soft Computing
Interpolated differential evolution for global optimisation problems
International Journal of Computing Science and Mathematics
Diversity analysis of opposition-based differential evolution: an experimental study
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
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RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
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Computers & Mathematics with Applications
Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions
Information Sciences: an International Journal
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Proceedings of the 13th annual conference on Genetic and evolutionary computation
Dynamic regional harmony search with opposition and local learning
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Computers and Operations Research
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ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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An intuitive distance-based explanation of opposition-based sampling
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AIS'12 Proceedings of the Third international conference on Autonomous and Intelligent Systems
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Computers & Mathematics with Applications
SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
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ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
Multi-operator based biogeography based optimization with mutation for global numerical optimization
Computers & Mathematics with Applications
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Information Sciences: an International Journal
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Computers in Biology and Medicine
International Journal of Applied Evolutionary Computation
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ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
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Proceedings of the twelfth workshop on Foundations of genetic algorithms XII
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International Journal of Bio-Inspired Computation
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International Journal of Bio-Inspired Computation
International Journal of Intelligent Information and Database Systems
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Adaptive Memetic Differential Evolution with Global and Local neighborhood-based mutation operators
Information Sciences: an International Journal
Enhancing different phases of artificial bee colony for continuous global optimisation problems
International Journal of Advanced Intelligence Paradigms
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International Journal of Computational Intelligence Studies
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Applied Soft Computing
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Computers & Mathematics with Applications
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International Journal of Bio-Inspired Computation
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Natural Computing: an international journal
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Applied Soft Computing
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International Journal of Computing Science and Mathematics
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International Journal of High Performance Systems Architecture
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Evolutionary algorithms (EAs) are well-known optimization approaches to deal with nonlinear and complex problems. However, these population-based algorithms are computationally expensive due to the slow nature of the evolutionary process. This paper presents a novel algorithm to accelerate the differential evolution (DE). The proposed opposition-based DE (ODE) employs opposition-based learning (OBL) for population initialization and also for generation jumping. In this work, opposite numbers have been utilized to improve the convergence rate of DE. A comprehensive set of 58 complex benchmark functions including a wide range of dimensions is employed for experimental verification. The influence of dimensionality, population size, jumping rate, and various mutation strategies are also investigated. Additionally, the contribution of opposite numbers is empirically verified. We also provide a comparison of ODE to fuzzy adaptive DE (FADE). Experimental results confirm that the ODE outperforms the original DE and FADE in terms of convergence speed and solution accuracy.