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2007, 2nd ed., ISBN 0470035617, 630
eBook
Information Sciences, ISSN 0020-0255, 08/2013, Volume 241, pp. 148 - 163
Real-world optimisation problems are often very complex. Metaheuristics have been successful in solving many of these problems, but the difficulty in choosing... 
Landscape analysis | Optimisation problem | Problem hardness measure | Fitness landscape | NEUTRALITY | PROBLEM DIFFICULTY | ADAPTIVE WALKS | SEARCH | PERFORMANCE | COMPUTER SCIENCE, INFORMATION SYSTEMS | GENETIC ALGORITHM | PROBLEM HARDNESS | RUGGEDNESS | COMPLEXITY | OPTIMIZATION
Journal Article
European Journal of Operational Research, ISSN 0377-2217, 2007, Volume 183, Issue 2, pp. 785 - 804
Differential evolution (DE) is generally considered as a reliable, accurate, robust and fast optimization technique. DE has been successfully applied to solve... 
Differential evolution | Evolutionary computations | Global optimization | Artificial intelligence | Analysis | Algorithms
Journal Article
2007, 2nd ed., ISBN 0470035617, xxx, 597
Computational Intelligence: An Introduction, Second Editionoffers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in... 
Neural networks (Computer science) | Evolutionary programming (Computer science) | Computational intelligence
Book
European Journal of Operational Research, ISSN 0377-2217, 2009, Volume 196, Issue 1, pp. 128 - 139
The barebones differential evolution (BBDE) is a new, almost parameter-free optimization algorithm that is a hybrid of the barebones particle swarm optimizer... 
Differential evolution | Particle swarm optimization | Optimization | Evolutionary computation | PARTICLE SWARM | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | CONVERGENCE | Evolutionary computation Differential evolution Particle swarm optimization Optimization | Computer science | Mathematical optimization | Algorithms
Journal Article
Computer Networks, ISSN 1389-1286, 04/2013, Volume 57, Issue 5, pp. 1167 - 1191
Journal Article
Neural Processing Letters, ISSN 1370-4621, 8/2018, Volume 48, Issue 1, pp. 353 - 373
Neural network architectures can be regularised by adding a penalty term to the objective function, thus minimising network complexity in addition to the... 
Computational Intelligence | Neural networks | Complex Systems | Computer Science | Weight elimination | Artificial Intelligence (incl. Robotics) | Fitness landscapes | Regularisation | CONTINUOUS OPTIMIZATION PROBLEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Analysis
Journal Article
Information Sciences, ISSN 0020-0255, 11/2013, Volume 250, pp. 61 - 81
•We provide a comprehensive overview of MOO performance measures.•These measures are adapted and used for dynamic MOO.•We provide a comprehensive overview of... 
Performance measure | Dynamic multi-objective optimisation | Dynamic multi-objective optimization | erformance measure | FRONT GENETIC ALGORITHM | METRICS | COMPUTER SCIENCE, INFORMATION SYSTEMS | EVOLUTIONARY ALGORITHM | MEMETIC ALGORITHM | Mathematical optimization | Analysis | Algorithms
Journal Article
IEEE Transactions on Evolutionary Computation, ISSN 1089-778X, 06/2015, Volume 19, Issue 3, pp. 341 - 358
Journal Article
Journal of Global Optimization, ISSN 0925-5001, 1/2013, Volume 55, Issue 1, pp. 73 - 99
Journal Article
SWARM INTELLIGENCE, ISSN 1935-3812, 12/2016, Volume 10, Issue 4, pp. 267 - 305
Particle swarm optimization (PSO) is a population-based, stochastic optimization technique inspired by the social dynamics of birds. The PSO algorithm is... 
ROBOTICS | ALGORITHM | ADAPTATION | Particle swarm optimization | Inertia weight strategies | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Convergence | Computer science | Algorithms | Mathematical optimization | Analysis
Journal Article
2005, ISBN 0470091916, xxxv, 599
Book
Expert Systems With Applications, ISSN 0957-4174, 06/2013, Volume 40, Issue 8, pp. 3001 - 3014
► A new affinity matching function for the negative selection artificial immune system algorithm is proposed.► The affinity matching function makes use of... 
Feature selection | Negative selection | Affinity matching functions | Artificial immune systems | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms
Journal Article
Engineering Applications of Artificial Intelligence, ISSN 0952-1976, 10/2019, Volume 85, pp. 324 - 336
Selecting the correct features when training a classification algorithm, has a significant impact on the performance of the classifier. More features provide... 
Feature Selection | K-Nearest Neighbor Classifier | Set Based Particle Swarm Optimization | ENGINEERING, MULTIDISCIPLINARY | ALGORITHM | SOLVE | PSO | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Computer science | Mathematical optimization | Algorithms
Journal Article