Path Planning with Danger Model Immune System

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

Explosive Ordnance Disposal Robot Path Planning Based on Danger Model Immune Wavelet Neural Network

Explosive ordnance disposal robot path planning is a nondeterministic polynomial time (NP) problem, traditional optimization methods are not very effective to it, which are easy to plunge into local minimum. In this paper, a new algorithm-Danger Model Immune Wavelet Neural Network (DIWNN) is improved. It is proposed to initialize the weights and biases of wavelet neural network (WNN), the ergod...

متن کامل

A novel chaos danger model immune algorithm

Making use of ergodicity and randomness of chaos, a novel chaos danger model immune algorithm (CDMIA) is presented by combining the benefits of chaos and danger model immune algorithm (DMIA). To maintain the diversity of antibodies and ensure the performances of the algorithm, two chaotic operators are proposed. Chaotic disturbance is used for updating the danger antibody to exploit local solut...

متن کامل

Multi-objective Particle Swarm Optimization for Robot Path Planning in Environment with Danger Sources

Aiming at robot path planning in an environment with danger sources, a global path planning approach based on multi-objective particle swarm optimization is presented in this paper. First, based on the environment map of a mobile robot described with a series of horizontal and vertical lines, an optimization model of the above problem including two indices, i.e. the length and the danger degree...

متن کامل

Triangle Sampling Path Planning in Environment with Danger Zones for Assembly/Disassembly

To plan a feasible path in the environment with danger zones for assembly/disassembly, a RRT-based path planning algorithm was presented. The algorithm addressed a new density avoided sampling function based on kurtosis coefficient for planning in the free configuration space, and introduced a random sampling function which obtains random state from the triangles that describe the danger zones....

متن کامل

Artificial Immune System Algorithm based on Danger Theory

An artificial immune system algorithm, based on the Danger Theory, is an algorithm which emulates, in a computational context, the defense mechanism of the human immune system when presented with a danger to its wellbeing. Over its evolution the human immune system has developed a complex defense mechanism against entities which are harmful to the human body. This system is divided into two sub...

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: Information Technology Journal

سال: 2013

ISSN: 1812-5638

DOI: 10.3923/itj.2013.4659.4665