The nature of niching: genetic algorithms and the evolution of optimal, cooperative populations
The nature of niching: genetic algorithms and the evolution of optimal, cooperative populations
A study of ACO capabilities for solving the maximum clique problem
Journal of Heuristics
Maintaining population diversity by maintaining family structures
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Balancing Population- and Individual-Level Adaptation in Changing Environments
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Visualizing the search process of particle swarm optimization
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
An ant colony optimization approach for the multidimensional knapsack problem
Journal of Heuristics
Genetic Programming and Evolvable Machines
Genetic Programming and Evolvable Machines
Ectropy of diversity measures for populations in Euclidean space
Information Sciences: an International Journal
Population diversity index: a new measure for population diversity
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
Multistart strategy using delta test for variable selection
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
Investigating vesicular selection
Applied Soft Computing
Measuring fitness degradation in dynamic optimization problems
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
How to select a small set of diverse solutions to mixed integer programming problems
Operations Research Letters
How long should we run in dynamic optimization?
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Evolutionary multi-agent system in hard benchmark continuous optimisation
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
EvoSpace: a distributed evolutionary platform based on the tuple space model
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
A hyper-heuristic approach to aircraft structural design optimization
Structural and Multidisciplinary Optimization
Hi-index | 0.00 |
In evolutionary algorithms (EAs), the need to efficiently measure population diversity arises in a variety of contexts, including operator adaptation, algorithm stopping and re-starting criteria, and fitness sharing. In this paper we introduce a unified measure of population diversity and define its relationship to the most common phenotypic and genotypic diversity measures. We further demonstrate that this new measure provides a new and efficient method for computing population diversity, where the cost of computation increases linearly with population size.