11 citations · 17 across the 6 of their papers we have counts for
8 papers · 1 filter
On the Use of Survival Selection Methods for Evolutionary Diversity Optimisation
Adel Nikfarjam, Jakob Bossek, Aneta Neumann +1
Generating a diverse set of high quality solutions for an optimisation problem has been studied extensively in recent years by the evolutionary computation community. A paradigm th…
Evolutionary Diversity Optimisation in Constructing Satisfying Assignments
Adel Nikfarjam, Ralf Rothenberger, Frank Neumann +1
Computing diverse solutions for a given problem, in particular evolutionary diversity optimisation (EDO), is a hot research topic in the evolutionary computation community. This pa…
Computing High-Quality Solutions for the Patient Admission Scheduling Problem using Evolutionary Diversity Optimisation
Adel Nikfarjam, Amirhossein Moosavi, Aneta Neumann +1
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…
Analysis of Quality Diversity Algorithms for the Knapsack Problem
Adel Nikfarjam, Anh Viet Do, Frank Neumann
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 maxi…
Evolutionary Diversity Optimisation for The Traveling Thief Problem
Adel Nikfarjam, Aneta Neumann, Frank Neumann
There has been a growing interest in the evolutionary computation community to compute a diverse set of high-quality solutions for a given optimisation problem. This can provide th…
On the Use of Quality Diversity Algorithms for The Traveling Thief Problem
Adel Nikfarjam, Aneta Neumann, Frank Neumann
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 imp…