648 results on '"Engelbrecht, Andries P."'
Search Results
202. Behavior Changing Schedules for Heterogeneous Particle Swarms
203. Solution Space Diversity Management in a Meta-hyperheuristic Framework
204. Base Model Combination Algorithm for Resolving Tied Predictions forK-Nearest Neighbor OVA Ensemble Models
205. Steep gradients as a predictor of PSO failure
206. A self-adaptive heterogeneous pso for real-parameter optimization
207. Analysing the performance of dynamic multi-objective optimisation algorithms
208. A cooperative multi-population approach to clustering temporal data
209. Multi-method algorithms: Investigating the entity-to-algorithm allocation problem
210. On the optimality of particle swarm parameters in dynamic environments
211. A scalability study of multi-objective particle swarm optimizers
212. Ruggedness, funnels and gradients in fitness landscapes and the effect on PSO performance
213. Issues with performance measures for dynamic multi-objective optimisation
214. Benchmarks for dynamic multi-objective optimisation
215. Cooperative particle swarm optimization in dynamic environments
216. Diversity Rate of Change Measurement for Particle Swarm Optimisers.
217. Angle Modulated Particle Swarm Variants.
218. Investigating the use of local search for improving meta-hyper-heuristic performance
219. Analyses of guide update approaches for vector evaluated particle swarm optimisation on dynamic multi-objective optimisation problems
220. Towards a more complete classification system for dynamically changing environments
221. Using Competitive Population Evaluation in a differential evolution algorithm for dynamic environments
222. Using OVA modeling to improve classification performance for large datasets
223. Differential evolution for dynamic environments with unknown numbers of optima
224. Session details: Ant colony optimization and swarm intelligence track papers
225. Assessment of the “Evaluation” function in the simulated evolution algorithm
226. The sensitivity of single objective optimization algorithm control parameter values under different computational constraints
227. Archive management for dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation
228. Investigating the impact of alternative evolutionary selection strategies on multi-method global optimization
229. Lambda-gamma learning with feedforward neural networks using particle swarm optimization
230. Self-adaptive competitive differential evolution for dynamic environments
231. Heterogeneous particle swarms in dynamic environments
232. A polar coordinate particle swarm optimiser
233. A fuzzy particle swarm optimization algorithm for computer communication network topology design
234. Swarm Tetris: Applying particle swarm optimization to tetris
235. Overfitting by PSO trained feedforward neural networks
236. Alternative hyper-heuristic strategies for multi-method global optimization
237. A decision rule-based method for feature selection in predictive data mining
238. Bare bones differential evolution
239. Free Search Differential Evolution
240. Training neural networks with PSO in dynamic environments
241. Quantifying ruggedness of continuous landscapes using entropy
242. Hybridizing PSO and DE for improved vector evaluated multi-objective optimization
243. HybridSOM: A generic rule extraction framework for self-organizing feature maps
244. Metaheuristics for the multi-objective FJSP with sequence-dependent set-up times, auxiliary resources and machine down time
245. Application of Ordered Weighted Averaging and Unified And-Or Operators to Multi-objective Particle Swarm Optimization Algorithm
246. Evolving model trees for mining data sets with continuous-valued classes
247. A fuzzy ant colony optimization algorithm for topology design of distributed local area networks
248. Multi-objective DE and PSO strategies for production scheduling
249. A comparison of map neuron labeling approaches for unsupervised self-organizing feature maps
250. Algorithm comparisons and the significance of population size
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