A tutorial on the design, experimentation and application of metaheuristic algorithms to real-world optimization problems
In the last few years, the formulation of real-world optimization problems and their efficient
solution via metaheuristic algorithms has been a catalyst for a myriad of research studies. In …
solution via metaheuristic algorithms has been a catalyst for a myriad of research studies. In …
Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
The development and application of evolutionary algorithms (EAs) and other metaheuristics
for the optimisation of water resources systems has been an active research field for over …
for the optimisation of water resources systems has been an active research field for over …
Bio-inspired computation: Where we stand and what's next
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 …
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
Automated algorithm selection: Survey and perspectives
It has long been observed that for practically any computational problem that has been
intensely studied, different instances are best solved using different algorithms. This is …
intensely studied, different instances are best solved using different algorithms. This is …
A survey of advances in landscape analysis for optimisation
KM Malan - Algorithms, 2021 - mdpi.com
Fitness landscapes were proposed in 1932 as an abstract notion for understanding
biological evolution and were later used to explain evolutionary algorithm behaviour. The …
biological evolution and were later used to explain evolutionary algorithm behaviour. The …
Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study
A Hasani, A Khosrojerdi - Transportation research part e: logistics and …, 2016 - Elsevier
A mixed-integer, non-linear model is developed for designing robust global supply chain
networks under uncertainty. Six resilience strategies are proposed to mitigate the risk of …
networks under uncertainty. Six resilience strategies are proposed to mitigate the risk of …
Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges
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 …
continuous optimization problem is a challenging task. Such problems typically lack …
[图书][B] Nature-inspired algorithms and applied optimization
XS Yang - 2017 - Springer
Nature-inspired algorithms, especially those based on swarm intelligence, have been
successfully applied to solve a variety of optimization problems in real-world applications …
successfully applied to solve a variety of optimization problems in real-world applications …
Exploratory landscape analysis of continuous space optimization problems using information content
Data-driven analysis methods, such as the information content of a fitness sequence,
characterize a discrete fitness landscape by quantifying its smoothness, ruggedness, or …
characterize a discrete fitness landscape by quantifying its smoothness, ruggedness, or …
Exploratory landscape analysis is strongly sensitive to the sampling strategy
Exploratory landscape analysis (ELA) supports supervised learning approaches for
automated algorithm selection and configuration by providing sets of features that quantify …
automated algorithm selection and configuration by providing sets of features that quantify …