Best three-dimensional trajectory planning by each algorithm.

Best three-dimensional trajectory planning by each algorithm.

<p>This comprehensive simulation and analysis highlight the effectiveness of the ECOA algorithm in navigating complex environments and its potential advantages in robotic arm trajectory planning compared to other algorithms.</p>

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Bibliographic Details
Main Author: Yuefeng Leng (20678476) (author)
Other Authors: Chunlai Cui (20678479) (author), Zhichao Jiang (4724856) (author)
Published: 2025
Subjects:
Science Policy
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
tent chaotic map
significantly lower variability
orthogonal refracted opposition
nonlinear perturbation factor
cec2017 test set
best competing algorithm
optimal trajectory within
eight advanced algorithms
mh algorithm inspired
ecoa &# 8217
dominant dimensional information
crayfish optimization algorithm
address optimization challenges
trajectory planning
algorithms provide
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wilcoxon rank
search strategies
search efficiency
results confirm
requires finding
reducing costs
practical verification
practical approach
population initialization
performance comparisons
local optima
including using
enhance diversity
dimensional scenarios
convergence stability
complex domain
biological behavior
based learning
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Summary:<p>This comprehensive simulation and analysis highlight the effectiveness of the ECOA algorithm in navigating complex environments and its potential advantages in robotic arm trajectory planning compared to other algorithms.</p>

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