Dynamic Flies: Using Real-Time Parisian Evolution in Robotics

Boumaza, Amine; Louchet, Jean

doi:10.1007/3-540-45365-2_30

Cited by 22 publications

(17 citation statements)

References 5 publications

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“…The general mathematical expression of the fitness function is [7,8]: -∇´M L µ and ∇´M R µ are Sobel gradient norms on left and right projections of the fly. That is intended to penalise flies which project onto uniform regions, i.e.…”

Section: Discussionmentioning

confidence: 99%

“…A sharing operator [7,8] reduces the fitness of flies packed together and forces them to explore other areas of the search space.…”

Section: Selectionmentioning

confidence: 99%

“…Boumaza [7,9] developed a simulator of a robot moving in a simplified environment, to test several control methods using the output of the Fly algorithm.…”

Section: Application To Robot Obstacle Detectionmentioning

confidence: 99%

See 2 more Smart Citations

Evolutionary Optimisation for Obstacle Detection and Avoidance in Mobile Robotics

Pauplin¹,

Louchet²,

Lutton³

et al. 2005

J. Adv. Comput. Intell. Intell. Inform.

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This paper presents an artificial evolution-based method for stereo image analysis and its application to real-time obstacle detection and avoidance for a mobile robot. It uses the Parisian approach, which consists here in splitting the representation of the robot's environment into a large number of simple primitives, the "flies", which are evolved according to a biologically inspired scheme. Results obtained on real scene with different fitness functions are presented and discussed, and an exploitation for obstacle avoidance in mobile robotics is proposed.

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Section: Discussionmentioning

confidence: 99%

“…A sharing operator [7,8] reduces the fitness of flies packed together and forces them to explore other areas of the search space.…”

Section: Selectionmentioning

confidence: 99%

See 1 more Smart Citation

Evolutionary Optimisation for Obstacle Detection and Avoidance in Mobile Robotics

Pauplin¹,

Louchet²,

Lutton³

et al. 2005

J. Adv. Comput. Intell. Intell. Inform.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Initially designed to address the inverse problem for Iterated Function System (IFS), a problem related to fractal image compression [7], this scheme has been successfully applied in various real world applications: in stereovision [4], in photogrammetry [9,11], in medical imaging [18], for Bayesian Network Structure learning [2], in data retrieval [10].…”

Section: Parisian Evolutionmentioning

confidence: 99%

Lamps: A Test Problem for Cooperative Coevolution

Tonda

Lutton

Squillero

2011

Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)

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“…Such a population does not give a 3-D description of the scene. In order to force flies to explore the whole search space, a sharing (Boumaza, 2001) reduces the fitness of flies packed together.…”

Section: Sharing and Selectionmentioning

confidence: 99%