Titlebook: Artificial Evolution; 11th International C Pierrick Legrand,Marc-Michel Corsini,Marc Schoenau Conference proceedings 2014 Springer Internat

PATRI

Optic-Disk

Preliminary Studies on Biclustering of GWA: A Multiobjective Approachof applying biclustering approaches to detect association between SNP markers and phenotype traits. Therefore, we propose a multiobjective model for biclustering problems in GWA context. Furthermore, we propose an adapted heuristic and metaheuristic to solve it. The performance of our algorithms are assessed using synthetic data sets.

Nuance

An Evolutionary Approach to Contrast Compensation for Dichromat Userse function. Experiments were conducted on real and artificial data in order to assess the approach efficiency for different set of parameters. The results showed that it is likely that the method performs better when the loss is important. The approach produces satisfying results on both real and artificial data for the set of tested parameters.

Inexorable

A Recombination-Based Tabu Search Algorithm for the Winner Determination Problemn operator operates on elite solutions previously found which are recorded in an global archive. The performance of our algorithm is assessed on a set of 500 well-known WDP benchmark instances. Comparisons with five state of the art algorithms demonstrate the effectiveness of our approach.

招待

Conference proceedings 2014ober 2013. The 20 revised paperswere carefully reviewed and selected from 39 submissions. The papers are focused to theory, ant colony optimization, applications, combinatorial and discrete optimization, memetic algorithms, genetic programming, interactive evolution, parallel evolutionary algorithms

Allergic

Bingyan J. Wang,Hina W. Chaudhrywith both deterministic and stochastic existing approaches. We demonstrate its efficiency on a benchmark of highly multimodal problems, for which we provide previously unknown global minima and certification of optimality.

FLASK

dominant

Log-log Convergence for Noisy Optimization .-. convergence for evolution strategies (which were not covered by existing results) in the case of objective functions with quadratic expectations and constant noise, (ii) .-. rates also for objective functions with expectation ., where . represents the optimum (iii) experiments with different pa

编辑才信任

Medium-Voltage Distribution Network Expansion Planning with Gene-pool Optimal Mixing Evolutionary Althat the favorable performance of GOMEA instances over traditional GAs extends to the real-world problem at hand. Moreover, the use of linkage learning is shown to further increase the algorithm’s effectiveness in converging toward optimal solutions.

COLON

Rengarajan Sriram,Gopalan Jagadeesh .-. convergence for evolution strategies (which were not covered by existing results) in the case of objective functions with quadratic expectations and constant noise, (ii) .-. rates also for objective functions with expectation ., where . represents the optimum (iii) experiments with different pa