[PDF][PDF] Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting.
Abstract Quality-Diversity (QD) algorithms, a subset of evolutionary algorithms, maintain an
archive (ie, a set of solutions) and simulate the natural evolution process through iterative …
archive (ie, a set of solutions) and simulate the natural evolution process through iterative …
Diversity from human feedback
Diversity plays a significant role in many problems, such as ensemble learning,
reinforcement learning, and combinatorial optimization. How to define the diversity measure …
reinforcement learning, and combinatorial optimization. How to define the diversity measure …
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 …
Evolutionary Diversity Optimisation for Combinatorial Problems
A Nikfarjam - 2023 - digital.library.adelaide.edu.au
Diversity optimisation explores a variety of solutions for the intended problem and is rapidly
growing and getting more popular within the evolutionary computation community as a …
growing and getting more popular within the evolutionary computation community as a …