Surrogate-Assisted Multi-Objective Optimization for Simultaneous Three-Dimensional Packing and Motion Planning Problems Using the Sequence-Triple Representation-Reference-Cited by-同舟云学术

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Surrogate-Assisted Multi-Objective Optimization for Simultaneous Three-Dimensional Packing and Motion Planning Problems Using the Sequence-Triple Representation

Published:2024-09-05 Issue:1 Volume:38 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Liu Ziang¹^ORCID,Kawabe Tomoya¹,Nishi Tatsushi¹,Ito Shun¹,Fujiwara Tomofumi¹

Affiliation:

1. Faculty of Environmental, Life, Natural Science and Technology, Okayama University, Okayama, Japan

Funder

New Energy and Industrial Technology Development Organization

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2398895

Reference45 articles.

1. On-line three-dimensional packing problems: A review of off-line and on-line solution approaches

2. Horse Herd Optimization Algorithm for Fuel Constrained Day-ahead Scheduling of Isolated Nanogrid

3. SMS-EMOA: Multiobjective selection based on dominated hypervolume

4. Pymoo: Multi-Objective Optimization in Python

5. A Running Performance Metric and Termination Criterion for Evaluating Evolutionary Multi- and Many-objective Optimization Algorithms

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