Constrained differential evolution optimization for underwater glider path planning in sub-mesoscale eddy sampling
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- 作者：Ale&scaron ; Zamudaa ; ales.zamuda@um.si" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; José ; Daniel Herná ; ndez Sosab ; dhernandez@iusiani.ulpgc.es" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Leonhard Adlerb ; leonhard.adler101@alu.ulpgc.es" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Differential evolution ; Constraint handling ; Underwater robotics ; Underwater glider path planning ; Sub-mesoscale ocean eddy sampling
- 刊名：Applied Soft Computing
- 出版年：2016
- 出版时间：May 2016
- 年：2016
- 卷：42
- 期：Complete
- 页码：93-118
- 全文大小：6072 K
文摘
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An approach for tackling constrained underwater glider sub-mesoscale path planning.
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The feasible path area is defined as a corridor around the border of an ocean eddy.
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A new configuration of constrained differential evolution algorithm and mechanisms.
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A new benchmark set with 28 different specialized scenarios defines the challenge.
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Per-scenario and aggregated performance analyses of different mechanism's new configurations.