A Collection of Robotics Problems for Benchmarking Evolutionary Computation Methods

Kůdela, Jakub; Juricek, Martin; Parak, Roman

doi:10.1007/978-3-031-30229-9_24

Cited by 4 publications

(1 citation statement)

References 40 publications

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“…The Center-Bias Problem. We use the same method used in literature [43] to reveal the central deviation problem. The eight benchmark functions (f1-f8) used in our tests are shown in Table 1.…”

Section: Comparison Of Wdo Improvement With Other Scholarsmentioning

confidence: 99%

Chaotic Wind-Driven Optimization with Hyperbolic Tangent Model and T-Distributed Mutation Strategy

Fang,

Yan,

Zhou

2024

Mathematical Problems in Engineering

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Meta-heuristic algorithms have the advantages of resilience, global optimization capacity, and coding flexibility, making them helpful in tackling difficult optimization issues. The enhanced wind-driven optimization (CHTWDO) that was proposed in this paper coupled the chaotic map approach and the hyperbolic tangent with the T-distribution mutation method. The initial air particles are evenly distributed in the system space through a tent mapping strategy. Meanwhile, the variation probability of the hyperbolic tangent model and the T-distribution variation method are used to improve the comprehensive performance of the algorithm. In this way, the global search accuracy and the ability of avoiding the extreme value of the algorithm can be taken into account. Combining the three strategies, CHTWDO had higher global search accuracy and a stronger ability to jump out of local extremum. Comparing with the eight meta-heuristic algorithms (including WDO) and the single strategy improved WDO on 24 test functions, the experimental results show that CHTWDO with two improved strategies has better convergence precision and faster convergence speed. Statistical tests such as Friedman’s and Wilcoxon’s rank-sum tests are used to determine significant differences between these comparison algorithms. Finally, CHTWDO also obtains the best results on four classical optimization problems in engineering applications, which verifies its practicality and effectiveness.

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Section: Comparison Of Wdo Improvement With Other Scholarsmentioning

confidence: 99%

Chaotic Wind-Driven Optimization with Hyperbolic Tangent Model and T-Distributed Mutation Strategy

Fang,

Yan,

Zhou

2024

Mathematical Problems in Engineering

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Benchmarking Derivative-Free Global Optimization Methods on Variable Dimension Robotics Problems

Kůdela,

Juříček,

Parák

et al. 2024

2024 IEEE Congress on Evolutionary Computation (CEC)

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Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review

Juříček,

Parák,

Kůdela

2023

Computation

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The significance of robot manipulators in engineering applications and scientific research has increased substantially in recent years. The utilization of robot manipulators to save labor and increase production accuracy is becoming a common practice in industry. Evolutionary computation (EC) techniques are optimization methods that have found their use in diverse engineering fields. This state-of-the-art review focuses on recent developments and progress in their applications for industrial robotics, especially for path planning problems that need to satisfy various constraints that are implied by both the geometry of the robot and its surroundings. We discuss the most-used EC method and the modifications that suit this particular purpose, as well as the different simulation environments that are used for their development. Lastly, we outline the possible research gaps and the expected directions future research in this area will entail.

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A Collection of Robotics Problems for Benchmarking Evolutionary Computation Methods

Cited by 4 publications

References 40 publications

Chaotic Wind-Driven Optimization with Hyperbolic Tangent Model and T-Distributed Mutation Strategy

Chaotic Wind-Driven Optimization with Hyperbolic Tangent Model and T-Distributed Mutation Strategy

Benchmarking Derivative-Free Global Optimization Methods on Variable Dimension Robotics Problems

Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review

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