Optimal Path Planning of Mobile Robot Using Hybrid Cuckoo Search-Bat Algorithm
نویسندگان
چکیده
منابع مشابه
Optimal Path Planning for Mobile Robot Using Tailored Genetic Algorithm
During routine inspecting, mobile robot may be requested to visit multiple locations to execute special tasks occasionally. This study aims at optimal path planning for multiple goals visiting task based on tailored genetic algorithm. The proposed algorithm will generate an optimal path that has the least idle time, which is proven to be effective on evaluating a path in our previous work. In p...
متن کاملRobot Path Planning Using Cellular Automata and Genetic Algorithm
In path planning Problems, a complete description of robot geometry, environments and obstacle are presented; the main goal is routing, moving from source to destination, without dealing with obstacles. Also, the existing route should be optimal. The definition of optimality in routing is the same as minimizing the route, in other words, the best possible route to reach the destination. In most...
متن کاملAn effective hybrid algorithm for mobile robot global path planning
Ant Colony Optimization (ACO) exhibits parallelism, contains certain redundancy and historical information of the past solutions with pheromone trail, and is suitable for implementation on massively parallel architecture. But it is not easy to avoid local optima, especially for large-scale schedule problems. Simulated annealing (SA) is a naturally serial algorithm, but its behavior can be contr...
متن کاملA Comparison between Bat Algorithm and Cuckoo Search for Path Planning
Here, metaheuristic search techniques are applied for robotic path planning. Robot has to move from its starting point called source point to final point called as destination point with minimum number of moves and iteration. Here both cuckoo search and bat algorithms are applied for the proposed problem and simulation results are compared. The techniques are applied for different number of pop...
متن کاملBat Algorithm and Cuckoo Search: A Tutorial
Nature-inspired metaheuristic algorithms have attracted much attention in the last decade, and new algorithms have emerged almost every year with a vast, ever-expanding literature. In this chapter, we briefly review two latest metaheuristics: bat algorithm and cuckoo search for global optimization. Bat algorithm was proposed by Xin-She Yang in 2010, inspired by the echolocation of microbats, wh...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2018
ISSN: 1877-0509
DOI: 10.1016/j.procs.2018.07.064