Lucas Resende,Ricardo H C Takahashi
Lucas Resende
The Differential Evolution (DE) algorithm is one of the most successful evolutionary computation techniques. However, its structure is not trivially translatable in terms of mathematical transformations that describe its population dynamics...
A Practical Methodology for Reproducible Experimentation: An Application to the Double-Row Facility Layout Problem [0.03%]
可重复实验的实际方法论：双行设施布局问题中的应用
Raúl Martín-Santamaría,Sergio Cavero,Alberto Herrán et al.
Raúl Martín-Santamaría et al.
Reproducibility of experiments is a complex task in stochastic methods such as evolutionary algorithms or metaheuristics in general. Many works from the literature give general guidelines to favor reproducibility. However, none of them prov...
Caie Hu,Sanyou Zeng,Changhe Li
Caie Hu
Model management is an essential component in data-driven surrogate-assisted evolutionary optimization. In model management, the solutions with a large degree of uncertainty in approximation play an important role. They can strengthen the e...
Characterizing Permutation-Based Combinatorial Optimization Problems in Fourier Space [0.03%]
傅里叶空间中的基于排列的组合优化问题及其特征
Anne Elorza,Leticia Hernando,Jose A Lozano
Anne Elorza
Comparing combinatorial optimization problems is a difficult task. They are defined using different criteria and terms: weights, flows, distances, etc. In spite of this apparent discrepancy, on many occasions, they tend to produce problem i...
Hybridization of Evolutionary Operators with Elitist Iterated Racing for the Simulation Optimization of Traffic Lights Programs [0.03%]
基于精英迭代竞争的进化算子杂交在信号灯程序模拟优化中的应用
Christian Cintrano,Javier Ferrer,Manuel López-Ibáñez et al.
Christian Cintrano et al.
In the traffic light scheduling problem, the evaluation of candidate solutions requires the simulation of a process under various (traffic) scenarios. Thus, good solutions should not only achieve good objective function values, but they mus...
Amirhossein Rajabi,Carsten Witt
Amirhossein Rajabi
Recently a mechanism called stagnation detection was proposed that automatically adjusts the mutation rate of evolutionary algorithms when they encounter local optima. The so-called SD-(1+1) EA introduced by Rajabi and Witt (2022) adds stag...
Fernando G Lobo,Mosab Bazargani
Fernando G Lobo
This article investigates the performance of multistart next ascent hillclimbing and well-known evolutionary algorithms incorporating diversity preservation techniques on instances of the multimodal problem generator. This generator induces...
Patrick Spettel,Zehao Ba,Dirk V Arnold
Patrick Spettel
Active-set approaches are commonly used in algorithms for constrained numerical optimization. We propose that active-set techniques can beneficially be employed for evolutionary black-box optimization with explicit constraints and present a...
Adaptive Ranking-Based Constraint Handling for Explicitly Constrained Black-Box Optimization [0.03%]
自适应排序约束处理的显式约束黑盒优化方法研究
Naoki Sakamoto,Youhei Akimoto
Naoki Sakamoto
We propose a novel constraint-handling technique for the covariance matrix adaptation evolution strategy (CMA-ES). The proposed technique is aimed at solving explicitly constrained black-box continuous optimization problems, in which the ex...
Benedict A H Jones,John L P Chouard,Bianca C C Branco et al.
Benedict A H Jones et al.
Evolution-in-Materio is a computational paradigm in which an algorithm reconfigures a material's properties to achieve a specific computational function. This article addresses the question of how successful and well performing Evolution-in...