PATRI
发表于 2025-3-28 15:36:02
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Optic-Disk
发表于 2025-3-28 20:13:20
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
发表于 2025-3-29 02:19:30
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
发表于 2025-3-29 04:25:56
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
发表于 2025-3-29 10:13:24
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
发表于 2025-3-29 12:20:13
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
发表于 2025-3-29 18:07:00
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dominant
发表于 2025-3-29 21:38:30
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
发表于 2025-3-30 00:40:49
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
发表于 2025-3-30 04:32:38
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