Multi-agent genetic algorithm with controllable mutation probability utilizing back propagation neural network for global optimization of trajectory design

Research article (Engineering Optimization, 2018) · cited 12× · AI/ML
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Multi-agent genetic algorithm with controllable mutation probability utilizing back propagation neural network for global optimization of trajectory design

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Multi-agent genetic algorithm with controllable mutation probability utilizing back propagation neural network for global optimization of trajectory design is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Multi-agent genetic algorithm with controllable mutation probability utilizing back propagation neural network for global optimization of trajectory design. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-agent-genetic-algorithm-with-controllable-mutation-probability-utilizing-back-propagation-neural-network-for-globa
MLA “Multi-agent genetic algorithm with controllable mutation probability utilizing back propagation neural network for global optimization of trajectory design.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-agent-genetic-algorithm-with-controllable-mutation-probability-utilizing-back-propagation-neural-network-for-globa.
BibTeX @misc{4ortxyz_multi-agent-genetic-algorithm-with-controllable-mutation-probability-utilizing-back-propagation-neural-network-for-globa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-agent genetic algorithm with controllable mutation probability utilizing back propagation neural network for global optimization of trajectory design}}, year = {2026}, url = {https://4ort.xyz/entity/multi-agent-genetic-algorithm-with-controllable-mutation-probability-utilizing-back-propagation-neural-network-for-globa}, note = {Accessed: 2026-05-24}}
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