Advanced Engineering Mathematics: Maple Computer Guide
Advanced Engineering Mathematics: Maple Computer Guide
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A computationally efficient evolutionary algorithm for real-parameter optimization
Evolutionary Computation
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Completely Derandomized Self-Adaptation in Evolution Strategies
Evolutionary Computation
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
Microgenetic algorithms as generalized hill-climbing operators forGA optimization
IEEE Transactions on Evolutionary Computation
A comparative study of differential evolution variants for global optimization
Proceedings of the 8th annual conference on Genetic and evolutionary computation
SDR: a better trigger for adaptive variance scaling in normal EDAs
Proceedings of the 9th annual conference on Genetic and evolutionary computation
An extended mutation concept for the local selection based differential evolution algorithm
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Multivariate ant colony optimization in continuous search spaces
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Application domain study of evolutionary algorithms in optimization problems
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Population size reduction for the differential evolution algorithm
Applied Intelligence
Experimental Comparisons of Derivative Free Optimization Algorithms
SEA '09 Proceedings of the 8th International Symposium on Experimental Algorithms
How to Do Recombination in Evolution Strategies: An Empirical Study
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
Locating and characterizing the stationary points of the extended rosenbrock function
Evolutionary Computation
Differential evolution using a neighborhood-based mutation operator
IEEE Transactions on Evolutionary Computation
A complex neighborhood based particle swarm optimization
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A statistical study of the differential evolution based on continuous generation model
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
JADE: adaptive differential evolution with optional external archive
IEEE Transactions on Evolutionary Computation
On mass effects to artificial physics optimisation algorithm for global optimisation problems
International Journal of Innovative Computing and Applications
A study on the effect of vmax in particle swarm optimisation with high dimension
International Journal of Bio-Inspired Computation
Adaptive strategy selection in differential evolution
Proceedings of the 12th annual conference on Genetic and evolutionary computation
A clustering-based differential evolution for global optimization
Applied Soft Computing
An effective memetic differential evolution algorithm based on chaotic local search
Information Sciences: an International Journal
Multi-population differential evolution with adaptive parameter control for global optimization
Proceedings of the 13th annual conference on Genetic and evolutionary computation
A modified artificial bee colony algorithm
Computers and Operations Research
Adaptive strategy selection in differential evolution for numerical optimization: An empirical study
Information Sciences: an International Journal
A hybrid particle swarm optimization algorithm for high-dimensional problems
Computers and Industrial Engineering
Self-adaptive randomized and rank-based differential evolution for multimodal problems
Journal of Global Optimization
The convergence analysis of artificial physics optimisation algorithm
International Journal of Intelligent Information and Database Systems
Effect of spatial locality on an evolutionary algorithm for multimodal optimization
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
Speedups between ×70 and ×120 for a generic local search (memetic) algorithm on a single GPGPU chip
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
Evolutionary multimodal optimization using the principle of locality
Information Sciences: an International Journal
The modified IWO algorithm for optimization of numerical functions
SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
Adaptive differential evolution with optimization state estimation
Proceedings of the 14th annual conference on Genetic and evolutionary computation
A region-based quantum evolutionary algorithm (RQEA) for global numerical optimization
Journal of Computational and Applied Mathematics
ICARIS'12 Proceedings of the 11th international conference on Artificial Immune Systems
Biological plausibility in optimisation: an ecosystemic view
International Journal of Bio-Inspired Computation
Beyond Standard Particle Swarm Optimisation
International Journal of Swarm Intelligence Research
Adaptive artificial bee colony optimization
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Evolution by adapting surrogates
Evolutionary Computation
A novel artificial bee colony algorithm with Powell's method
Applied Soft Computing
Accelerating Gaussian bare-bones differential evolution using neighbourhood mutation
International Journal of Computing Science and Mathematics
Journal of Computational Physics
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The Rosenbrock function is a well-known benchmark for numerical optimization problems, which is frequently used to assess the performance of Evolutionary Algorithms. The classical Rosenbrock function, which is a two-dimensional unimodal function, has been extended to higher dimensions in recent years. Many researchers take the high-dimensional Rosenbrock function as a unimodal function by instinct. In 2001 and 2002, Hansen and Deb found that the Rosenbrock function is not a unimodal function for higher dimensions although no theoretical analysis was provided. This paper shows that the n-dimensional (n = 4∼30) Rosenbrock function has 2 minima, and analysis is proposed to verify this. The local minima in some cases are presented. In addition, this paper demonstrates that one of the "local minima" for the 20-variable Rosenbrock function found by Deb might not in fact be a local minimum.