Particle swarm optimization algorithms with selective differential evolution for AUV path planning
نویسندگان
چکیده
منابع مشابه
Gaussian Particle Swarm Optimization with Differential Evolution Mutation
During the past decade, the particle swarm optimization (PSO) with various versions showed competitiveness on the constrained optimization problems. In this paper, an improved Gaussian particle swarm optimization algorithm (GPSO) is proposed to improve the diversity and local search ability of the population. A mutation operator based on differential evolution (DE) is designed and employed to u...
متن کاملRobot Path Planning Based on Random Coding Particle Swarm Optimization
Mobile robot navigation is to find an optimal path to guide the movement of the robot, so path planning is guaranteed to find a feasible optimal path. However, the path planning problem must be solve two problems, i.e., the path must be kept away from obstacles or avoid the collision with obstacles and the length of path should be minimized. In this paper, a path planning algorithm based on ran...
متن کاملA New Hybrid for Software Cost Estimation Using Particle Swarm Optimization and Differential Evolution Algorithms
Software Cost Estimation (SCE) is considered one of the most important sections in software engineering that results in capabilities and well-deserved influence on the processes of cost and effort. Two factors of cost and effort in software projects determine the success and failure of projects. The project that will be completed in a certain time and manpower is a successful one and will have ...
متن کاملParticle Swarm Optimization and Differential Evolution Methods Hybridized with Pattern Search for Solving Optimization Problems
Derivative-free methods are being explored recently due to the increased complexity of the models used in the optimization problems, and the impossibility/inconvenience of using derivatives in several situations. However, those methods show some limitations due to their low convergence rate, and when the problem is high-dimensional. Metaheuristics are another commonly adopted type of search tec...
متن کاملMulti-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 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: IAES International Journal of Robotics and Automation (IJRA)
سال: 2020
ISSN: 2089-4856,2089-4856
DOI: 10.11591/ijra.v9i2.pp94-112