Multi-objective optimal path planning using elitist non-dominated sorting genetic algorithms

A multi-objective vehicle path planning method has been proposed to optimize path length, path safety, and path smoothness using the elitist non-dominated sorting genetic algorithm—a well-known soft computing approach. Four different path representation schemes that begin their coding from the start...

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Vydáno v:	Soft computing (Berlin, Germany) Ročník 17; číslo 7; s. 1283 - 1299
Hlavní autoři:	Ahmed, Faez, Deb, Kalyanmoy
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer-Verlag 01.07.2013 Springer Nature B.V
Témata:	Artificial Intelligence Barriers Computational Intelligence Control Elitism Engineering Genes Genetic algorithms Mathematical Logic and Foundations Mechatronics Methodologies and Application Multiple objective analysis Optimization Optimization algorithms Optimization techniques Path planning Representations Robotics Safety Smoothness Soft computing Sorting algorithms Path smoothness NSGA-II Potential field Multi-objective path planning Path length Path safety Genetic algorithms
ISSN:	1432-7643, 1433-7479
On-line přístup:	Získat plný text
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