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Journal ArticleDOI

Propulsive Velocity Optimization of 3-Joint Fish Robot Using Genetic-Hill Climbing Algorithm

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TLDR
An analytical optimization approach is proposed which can guarantee the maximum propulsive velocity of fish robot in the given parametric conditions and is carried out to prove the feasibility of the proposed method.
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This article is published in Journal of Bionic Engineering.The article was published on 2009-12-01. It has received 22 citations till now. The article focuses on the topics: Hill climbing & Remotely operated underwater vehicle.

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Fish-inspired robots: design, sensing, actuation, and autonomy--a review of research.

TL;DR: A detailed comparison of various design features of fish-inspired robots reported in the past decade is presented, believing that by studying the existing robots, future designers will be able to create new designs by adopting features from the successful robots.
Journal ArticleDOI

Motion Control and Motion Coordination of Bionic Robotic Fish: A Review

TL;DR: A general review of the current status of bionic robotic fish, with particular emphasis on the hydrodynamic modeling and testing, kinematic modeling and control, learning and optimization, as well as motion coordination control.
Journal ArticleDOI

Dynamic Modeling of a Non-Uniform Flexible Tail for a Robotic Fish

TL;DR: In this paper, a non-uniform flexible tail of a fish robot was modeled by a rotary slender beam and the hydrodynamics forces, including the reactive force and resistive force, were analyzed in order to derive the governing equation.
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Application of Taguchi Method in the Optimization of Swimming Capability for Robotic Fish

TL;DR: The Taguchi method is efficient for exploring the maximum locomotor capabilities of robotic fish and may also be useful for other robots as no modelling is required.
References
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Book

Practical Genetic Algorithms

TL;DR: Introduction to Optimization The Binary genetic Algorithm The Continuous Parameter Genetic Algorithm Applications An Added Level of Sophistication Advanced Applications Evolutionary Trends Appendix Glossary Index.

A Genetic Algorithm for Function Optimization: A Matlab Implementation

TL;DR: The genetic algorithm using a oat representation is found to be superior to both a binary genetic algorithm and simulated annealing in terms of e ciency and quality of solution.
Journal ArticleDOI

Note on the swimming of slender fish

TL;DR: In this paper, the authors determine what transverse oscillatory movements a slender fish can make which will give it a high Froude propulsive efficiency, and the recommended procedure is for the fish to pass a wave down its body at a speed of around of the desired swimming speed, the amplitude increasing from zero over the front portion to a maximum at the tail, whose span should exceed a certain critical value.
Journal ArticleDOI

Practical Genetic Algorithms

TL;DR: In this article, the authors present a practical GA for practical genetic algorithms, where the algorithm is based on a set of algorithms from Practical Genetic Algorithms (PGA).
Book

Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory

TL;DR: This chapter discusses GAs as Markov processes as well as the Dynamical Systems Model, which helps clarify the role of language in the development of GA performance.
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