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Uncertainty-wise software anti-patterns detection: A possibilistic evolutionary machine learning approach
(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 ...
A convergence and diversity guided leader selection strategy for many-objective particle swarm optimization
(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 ...
A mathematical analysis of EDAs with distance-based exponential models
(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 ...
On the Construction of Pareto-Compliant Combined Indicators
(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 ...
Multiple source transfer learning for dynamic multiobjective optimization
(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 ...
An Ensemble Surrogate-Based Framework for Expensive Multiobjective Evolutionary Optimization
(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, ...
A self-organizing weighted optimization based framework for large-scale multi-objective optimization
(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 ...
Preference incorporation in MOEA/D using an outranking approach with imprecise model parameters
(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 ...
A dynamic multi-objective evolutionary algorithm based on polynomial regression and adaptive clustering
(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 ...
Static and Dynamic Multimodal Optimization by Improved Covariance Matrix Self-Adaptation Evolution Strategy with Repelling Subpopulations
(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 ...