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Cited by 408

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Adaptive evolutionary planner/navigator for mobile robots

Jing Xiao, Michalewicz, Z., Lixin Zhang, Trojanowski, K.·1997·IEEE Transactions on Evolutionary Computation

Abstract

Based on evolutionary computation (EC) concepts, we developed an adaptive evolutionary planner/navigator (EP/N) as a novel approach to path planning and navigation. The EP/N is characterized by generality, flexibility, and adaptability. It unifies off-line planning and online planning/navigation processes in the same evolutionary algorithm which 1) accommodates different optimization criteria and changes in these criteria, 2) incorporates various types of problem-specific domain knowledge, and 3) enables good tradeoffs among near-optimality of paths, high planning efficiency, and effective handling of unknown obstacles. More importantly, the EP/N can self-tune its performance for different task environments and changes in such environments, mostly through adapting probabilities of its operators and adjusting paths constantly, even during a robot's motion toward the goal.

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Metadata

Authors
Xiao, J., Michalewicz, Z., Zhang, L., & Trojanowski, K.
Venue
IEEE Transactions on Evolutionary Computation
Published
1997-04
Volume
1
Issue
1
Pages
18-28
ISSN
1089-778X (ISSN-L)
OpenAlex
W2101938656
Cited by
408
References
3
FWCI
14.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Adaptive evolutionary planner/navigator for mobile robots. https://app.cochat.ai/papers/10.1109/4235.585889
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Xiao, J., Michalewicz, Z., Zhang, L., & Trojanowski, K. (1997). Adaptive evolutionary planner/navigator for mobile robots. IEEE Transactions on Evolutionary Computation. https://doi.org/10.1109/4235.585889

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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