2020
DOI: 10.3390/app10051721
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Abstract: Path planning is present in many areas, such as robotics, video games, and unmanned autonomous vehicles. In the case of robots, it is a primary low-level prerequisite for the successful execution of high-level tasks. It is a known and difficult problem to solve, especially in terms of finding optimal paths for robots working in complex environments. Recently, population-based methods for multi-objective optimization, i.e., swarm and evolutionary algorithms successfully perform on different path planning proble… Show more

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Cited by 3 publications
(2 citation statements)
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“…Evolutionary algorithms, and other population-based algorithms, have been successfully applied to different problem domains. Nondeterministic polynomial time (NP) hard problems, large search spaces, constrained optimization problems with deceptive domains, among others, have all been successfully explored and optimized with evolutionary algorithms [26][27][28]. The disadvantages of evolutionary algorithms (EA)s compared to other optimization techniques lie in their stochastic nature.…”
Section: Methods 21 Evolutionary Algorithmsmentioning
confidence: 99%
“…Evolutionary algorithms, and other population-based algorithms, have been successfully applied to different problem domains. Nondeterministic polynomial time (NP) hard problems, large search spaces, constrained optimization problems with deceptive domains, among others, have all been successfully explored and optimized with evolutionary algorithms [26][27][28]. The disadvantages of evolutionary algorithms (EA)s compared to other optimization techniques lie in their stochastic nature.…”
Section: Methods 21 Evolutionary Algorithmsmentioning
confidence: 99%
“…When an unexpected failure occurs, the thruster breaks down and the underwater vehicle becomes incapable of completing its job, causing huge losses for sea exploration. Thus, it is necessary to perform online monitoring of the thruster system and to implement diagnostic operations in the presence of systematic failures [2][3][4].…”
Section: Introductionmentioning
confidence: 99%