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Now showing items 1-10 of 90

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Uncertainty-wise software anti-patterns detection: A possibilistic evolutionary machine learning approach 

Boutaib, S.; Elarbi, M.; Bechikh, S.; Coello, C.A.Autoridad BCAM; Said, L. B. (2022-11-01)
Context: Code smells (a.k.a. anti-patterns) are manifestations of poor design solutions that can deteriorate software maintainability and evolution. Research gap: Existing works did not take into account the issue of ...
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A convergence and diversity guided leader selection strategy for many-objective particle swarm optimization 

Li, L.; Li, Y.; Lin, Q.; Ming, Z.; Coello, C.A.Autoridad BCAM (2022-10-01)
Recently, particle swarm optimizer (PSO) is extended to solve many-objective optimization problems (MaOPs) and becomes a hot research topic in the field of evolutionary computation. Particularly, the leader particle selection ...
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A mathematical analysis of EDAs with distance-based exponential models 

Unanue, I.; Merino, M.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2022-09-01)
Estimation of Distribution Algorithms have been successfully used to solve permutation-based Combinatorial Optimization Problems. In this case, the algorithms use probabilistic models specifically designed for codifying ...
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On the Construction of Pareto-Compliant Combined Indicators 

Falcón-Cardona, J.G.; Emmerich, M.; Coello, C.A.Autoridad BCAM (2022-08-12)
The most relevant property that a quality indicator (QI) is expected to have is Pareto compliance, which means that every time an approximation set strictly dominates another in a Pareto sense, the indicator must reflect ...
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Multiple source transfer learning for dynamic multiobjective optimization 

Ye, Y.; Lin, Q.; Ma, L.; Wong, K. C.; Gong, M.; Coello, C.A.Autoridad BCAM (2022-08-01)
Recently, dynamic multiobjective evolutionary algorithms (DMOEAs) with transfer learning have become popular for solving dynamic multiobjective optimization problems (DMOPs), as the used transfer learning methods in DMOEAs ...
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An Ensemble Surrogate-Based Framework for Expensive Multiobjective Evolutionary Optimization 

Lin, Q.; Wu, X.; Ma, L.; Li, J.; Gong, M.; Coello, C.A.Autoridad BCAM (2022-08-01)
Surrogate-assisted evolutionary algorithms (SAEAs) have become very popular for tackling computationally expensive multiobjective optimization problems (EMOPs), as the surrogate models in SAEAs can approximate EMOPs well, ...
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A self-organizing weighted optimization based framework for large-scale multi-objective optimization 

Li, Y.; Li, L.; Lin, Q.; Wong, K. C.; Ming, Z.; Coello, C.A.Autoridad BCAM (2022-07-01)
The solving of large-scale multi-objective optimization problem (LSMOP) has become a hot research topic in evolutionary computation. To better solve this problem, this paper proposes a self-organizing weighted optimization ...
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Preference incorporation in MOEA/D using an outranking approach with imprecise model parameters 

Fernández, E.; Rangel-Valdez, N.; Cruz-Reyes, L.; Gomez-Santillan, C.; Coello, C.A.Autoridad BCAM (2022-07-01)
Multi-objective Optimization Evolutionary Algorithms (MOEAs) face numerous challenges when they are used to solve Many-objective Optimization Problems (MaOPs). Decomposition-based strategies, such as MOEA/D, divide an MaOP ...
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A dynamic multi-objective evolutionary algorithm based on polynomial regression and adaptive clustering 

Yu, Q.; Lin, Q.; Zhu, Z.; Wong, K. C.; Coello, C.A.Autoridad BCAM (2022-06-01)
In this paper, a dynamic multi-objective evolutionary algorithm is proposed based on polynomial regression and adaptive clustering, called DMOEA-PRAC. As the Pareto-optimal solutions and fronts of dynamic multi-objective ...
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Static and Dynamic Multimodal Optimization by Improved Covariance Matrix Self-Adaptation Evolution Strategy with Repelling Subpopulations 

Ahrari, A.; Elsayed, S.; Sarker, R.; Essam, D.; Coello, C.A.Autoridad BCAM (2022-06-01)
The covariance matrix self-adaptation evolution strategy with repelling subpopulations (RS-CMSA-ES) is one of the most successful multimodal optimization (MMO) methods currently available. However, some of its components ...
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AuthorDel Ser, J. (33)Ayesta, U. (17)Coello, C.A. (17)Jacko, P. (12)Anselmi, J. (11)Bilbao, M.N. (8)Avrachenkov, K. (6)Lobo, J.L. (6)Perfecto, C. (6)Verloop, I.M. (6)... másSubjectHarmony Search (5)Opportunistic scheduling (4)Stability (4)Whittle index (4)Ant Colony Optimization (3)Heuristics (3)Many-objective optimization (3)multiobjective optimization (3)Optimal scheduling (3)Optimization (3)... másFecha2020 - 2022 (22)2010 - 2019 (65)2009 - 2009 (3)

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