Multi-objective Path Planning Based on K-D Fusion Algorithm

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Hypervolume-Based Multi-Objective Path Relinking Algorithm

This paper presents a hypervolume-based multi-objective path relinking algorithm for approximating the Pareto optimal set of multi-objective combinatorial optimization problems. We focus on integrating path relinking techniques within a multi-objective local search as an initialization function. Then, we carry out a range of experiments on bi-objective flow shop problem and bi-objective quadrat...

متن کامل

Multi - Objective Evolutionary Path Planning

| This paper introduces a new tournament selection algorithm that can be used for evolutionary path planning systems. The fuzzy tournament selection algorithm (FTSA) described in this paper selects candidate paths (CPs) to be parents and undergo reproduction based on: (1) the euclidean distance of a path from the origin to its destination, (2) the sum of the changes in the slope of a path, and ...

متن کامل

Distribution Network Expansion Planning Based on Multi-objective PSO Algorithm

This paper presents a novel approach for electrical distribution network expansion planning using multi-objective particle swarm optimization (PSO). The optimization objectives are: investment and operation cost, energy losses cost, and power congestion cost. A two-phase multi-objective PSO algorithm is employed to solve this optimization problem, which can accelerate the convergence and guaran...

متن کامل

Multi-objective Evolutionary Path Planning with Neutrality

One of the main challenges when developing mobile robots is path planning. Efficient and robust algorithms are needed to produce plans for the movements of the robot. Many classical path planning algorithms depend on geometrically simple environments to achieve good performance, otherwise the paths produced tend to be far from ideal especially when the paths are to be optimized for multiple obj...

متن کامل

MOEICA: Enhanced multi-objective optimization based on imperialist competitive algorithm

In this paper, a multi-objective enhanced imperialist competitive algorithm (MOEICA) is presented. The main structures of the original ICA are employed while some novel approaches are also developed. Other than the non-dominated sorting and crowding distance methods which are used as the main tools for comparing and ranking solutions, an auxiliary comparison approach called fuzzy possession is ...

متن کامل

ذخیره 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: Journal of Physics: Conference Series

سال: 2021

ISSN: 1742-6588,1742-6596

DOI: 10.1088/1742-6596/1828/1/012037