most citedWhere are Bottlenecks in NK Fitness Landscapes?

45 citations · 141 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI200822 cited

Anisotropic selection in cellular genetic algorithms

David Simoncini, Sébastien Verel, Philippe Collard +1

In this paper we introduce a new selection scheme in cellular genetic algorithms (cGAs). Anisotropic Selection (AS) promotes diversity and allows accurate control of the selective…

cs.AI2007

Measuring the Evolvability Landscape to study Neutrality

Sébastien Verel, Philippe Collard, Manuel Clergue

This theoretical work defines the measure of autocorrelation of evolvability in the context of neutral fitness landscape. This measure has been studied on the classical MAX-SAT pro…

cs.AI200721 cited

Local search heuristics: Fitness Cloud versus Fitness Landscape

Philippe Collard, Sébastien Verel, Manuel Clergue

This paper introduces the concept of fitness cloud as an alternative way to visualize and analyze search spaces than given by the geographic notion of fitness landscape. It is argu…

cs.AI200730 cited

Fitness landscape of the cellular automata majority problem: View from the Olympus

Sébastien Verel, Philippe Collard, Marco Tomassini +1

In this paper we study cellular automata (CAs) that perform the computational Majority task. This task is a good example of what the phenomenon of emergence in complex systems is.…

cs.NE20074 cited

How to use the Scuba Diving metaphor to solve problem with neutrality ?

Philippe Collard, Sébastien Verel, Manuel Clergue

We proposed a new search heuristic using the scuba diving metaphor. This approach is based on the concept of evolvability and tends to exploit neutrality which exists in many real-…

cs.NE200719 cited

Scuba Search : when selection meets innovation

Sébastien Verel, Philippe Collard, Manuel Clergue

We proposed a new search heuristic using the scuba diving metaphor. This approach is based on the concept of evolvability and tends to exploit neutrality in fitness landscape. Desp…