Application of Cuckoo Search Algorithm in Optimal Solution of Robot ...

Application of Cuckoo Search Algorithm in Optimal Solution of Robot Inverse Kinematics ; Volume Title: Proceedings of the International Conference on Logistics, ...

In view of the fact that to obtain the analytic solutions of the inverse kinematics of robots must meet special conditions, this paper used a general solution, ...

An Improved Cuckoo Search Algorithm and Its Application in Robot ...

This manuscript introduces an improved Cuckoo Search (CS) algorithm, known as BASCS, designed to address the inherent limitations of CS, ...

Cuckoo Search Optimization- A Review - ScienceDirect.com

The Cuckoo Search algorithm is a recently developed meta-heuristic optimization algorithm, which is used for solving optimization problems.

Optimized cuckoo search algorithm using tournament selection ...

This article presents the modified cuckoo search algorithm using tournament selection function for robot path planning. Path length and Path ...

Robot Time-Optimal Trajectory Planning Based on Improved ...

The proposed algorithm was used to optimize the trajectory of a test robot with interpolation time as the search space for optimization. Any ...

Applications of Cuckoo Search Algorithm and its Variants

One of the most successful optimization algorithms is the Cuckoo search (CS), which has become an active research area to solve N-dimensional and linear/ ...

An Improved Cuckoo Search Algorithm and Its Application in Robot ...

This manuscript introduces an improved Cuckoo Search (CS) algorithm, known as BASCS, designed to address the inherent limitations of CS.

Optimal path planning for a mobile robot using cuckoo search ...

This meta-heuristic algorithm is based on the levy flight behaviour and brood parasitic behaviour of cuckoos. A new objective function has been formulated ...

Cuckoo search algorithm based on cloud model and its application

The highly random flight mechanism allows individuals to explore the entire solution space as much as possible, so the population exhibits good ...

Cuckoo Search (CS) Algorithm - File Exchange - MATLAB Central

A new metaheuristic optimization algorithm, called Cuckoo Search (CS), is fully implemented, and the vectorized version is given here.

Optimized cuckoo search algorithm using tournament selection ...

The use of tournament selection overcomes local minima for robots while traversing in the configuration space and increases the probability of ...

(PDF) Application of Cuckoo Search Algorithm in Optimal

Application of Cuckoo Search Algorithm in Optimal Solution of Robot Inverse Kinematics by Zefan Cai, Daoping Huang.

Application of the Improved Cuckoo Algorithm in Differential Equations

The problem of solving the differential equation is then transformed into an optimization problem with the coefficients of the approximate function as variables ...

Robot Time-Optimal Trajectory Planning Based on Improved ...

[14], Yang and Deb [15] proposed a dynamic adaptive cuckoo search algorithm which uses an adaptive step control to increase the cooperation ...

A horizontal and vertical crossover cuckoo search: optimizing ...

The swarm intelligence optimization algorithm is popular among researchers as a flexible, gradient-independent optimization method. The cuckoo search (CS) ...

Optimized Cuckoo Search Algorithm | PDF | Metaheuristic - Scribd

Cuckoo search X ti , X tk Initial point selected by random permutation. CS algorithm is one of the nature-inspired meta-heuristic a Positive step size scaling ...

[Retracted] Application of Cuckoo Search Algorithm in Cost ...

The algorithm can use the following three idealized conditions: (1) each cuckoo produces only one egg at a time and randomly in a nest; (2) the ...

A hybrid cuckoo search algorithm with Nelder Mead method ... - NCBI

HCSNM starts the search by applying the standard cuckoo search for number of iterations then the best obtained solution is passing to the Nelder ...

robotic assembly sequence planning and optimization by cuckoo ...

It assists to feasibilize the sequence and move it to feasible search space. Its fitness is compared with a randomly picked egg, which it replaces, if found to ...