The chance constrained travelling thief problem: Problem formulations and algorithms
The travelling thief problem (TTP) is a multi-component combinatorial optimization problem
that has gained significant attention in the evolutionary computation and heuristic search …
that has gained significant attention in the evolutionary computation and heuristic search …
Diversity optimization for the detection and concealment of spatially defined communication networks
In recent years, computing diverse sets of high quality solutions for an optimization problem
has become an important topic. The goal of computing diverse sets of high quality solutions …
has become an important topic. The goal of computing diverse sets of high quality solutions …
On the Use of Quality Diversity Algorithms for the Travelling Thief Problem
In real-world optimisation, it is common to face several sub-problems interacting and forming
the main problem. There is an inter-dependency between the sub-problems, making it …
the main problem. There is an inter-dependency between the sub-problems, making it …
Evolutionary diversity optimisation for sparse directed communication networks
This study proposes Evolutionary Diversity Optimisation (EDO) to Lower the Probability of
Detection (LPD) in directed wireless networks. LPD communication aims to communicate …
Detection (LPD) in directed wireless networks. LPD communication aims to communicate …
Recent evolutionary algorithm variants for combinatorial optimization problem
The evolutionary algorithm has been extensively used to solve a range of combinatorial
optimization problems. The adaptability of evolutionary algorithm mechanisms provides …
optimization problems. The adaptability of evolutionary algorithm mechanisms provides …
Analysis of quality diversity algorithms for the knapsack problem
Quality diversity (QD) algorithms have been shown to be very successful when dealing with
problems in areas such as robotics, games and combinatorial optimization. They aim to …
problems in areas such as robotics, games and combinatorial optimization. They aim to …
A Detailed Experimental Analysis of Evolutionary Diversity Optimization for OneMinMax
Real-world optimization problems often require finding not only one good solution, but a
diverse set of good solutions. Evolutionary algorithms (EAs) have been shown to suit well for …
diverse set of good solutions. Evolutionary algorithms (EAs) have been shown to suit well for …
Evolutionary Diversity Optimisation in Constructing Satisfying Assignments
Computing diverse solutions for a given problem, in particular evolutionary diversity
optimisation (EDO), is a hot research topic in the evolutionary computation community. This …
optimisation (EDO), is a hot research topic in the evolutionary computation community. This …
Computing high-quality solutions for the patient admission scheduling problem using evolutionary diversity optimisation
Diversification in a set of solutions has become a hot research topic in the evolutionary
computation community. It has been proven beneficial for optimisation problems in several …
computation community. It has been proven beneficial for optimisation problems in several …
A Sequence-Based Hyper-Heuristic for Traveling Thieves
D Rodríguez, JM Cruz-Duarte, JC Ortiz-Bayliss… - Applied Sciences, 2022 - mdpi.com
A plethora of combinatorial optimization problems can be linked to real-life decision
scenarios. Even nowadays, more diverse and complex problems are popping up. One of …
scenarios. Even nowadays, more diverse and complex problems are popping up. One of …