A survey on evolutionary machine learning

H Al-Sahaf, Y Bi, Q Chen, A Lensen, Y Mei… - Journal of the Royal …, 2019 - Taylor & Francis
Artificial intelligence (AI) emphasises the creation of intelligent machines/systems that
function like humans. AI has been applied to many real-world applications. Machine …

Metaheuristics for solving global and engineering optimization problems: review, applications, open issues and challenges

EH Houssein, MK Saeed, G Hu… - Archives of Computational …, 2024 - Springer
The greatest and fastest advances in the computing world today require researchers to
develop new problem-solving techniques capable of providing an optimal global solution …

Bio-inspired computation: Where we stand and what's next

J Del Ser, E Osaba, D Molina, XS Yang… - Swarm and Evolutionary …, 2019 - Elsevier
In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …

Language model crossover: Variation through few-shot prompting

E Meyerson, MJ Nelson, H Bradley, A Gaier… - ACM Transactions on …, 2024 - dl.acm.org
This article pursues the insight that language models naturally enable an intelligent variation
operator similar in spirit to evolutionary crossover. In particular, language models of …

[PDF][PDF] A history of metaheuristics

K Sorensen, M Sevaux, F Glover - arxiv preprint arxiv:1704.00853, 2017 - arxiv.org
A History of Metaheuristics arxiv:1704.00853v1 [cs.AI] 4 Apr 2017 Page 1 A History of
Metaheuristics ∗ Kenneth Sörensen Marc Sevaux Fred Glover Abstract This chapter …

Benchmarking in optimization: Best practice and open issues

T Bartz-Beielstein, C Doerr, D Berg, J Bossek… - arxiv preprint arxiv …, 2020 - arxiv.org
This survey compiles ideas and recommendations from more than a dozen researchers with
different backgrounds and from different institutes around the world. Promoting best practice …

Fast genetic algorithms

B Doerr, HP Le, R Makhmara, TD Nguyen - Proceedings of the genetic …, 2017 - dl.acm.org
For genetic algorithms (GAs) using a bit-string representation of length n, the general
recommendation is to take 1/n as mutation rate. In this work, we discuss whether this is …

Bioinspired computation in combinatorial optimization: Algorithms and their computational complexity

F Neumann, C Witt - Proceedings of the 15th annual conference …, 2013 - dl.acm.org
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation:
Bioinspired computation in combinat Page 1 1/88 Bioinspired Computation in Combinatorial …

Runtime analysis of the SMS-EMOA for many-objective optimization

W Zheng, B Doerr - Proceedings of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
The widely used multiobjective optimizer NSGA-II was recently proven to have considerable
difficulties in many-objective optimization. In contrast, experimental results in the literature …

Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges

MA Muñoz, Y Sun, M Kirley, SK Halgamuge - Information Sciences, 2015 - Elsevier
Selecting the most appropriate algorithm to use when attempting to solve a black-box
continuous optimization problem is a challenging task. Such problems typically lack …