In this paper, we propose a particle swarm optimization based clustering algorithm with mobile sink for wireless sensor network. In this algorithm, the virtual clustering technique is performed during routing p
A novel particle swarm optimization (PSO)-based algorithm for the traveling salesman problem (TSP) is presented. An uncertain searching strategy and a crossover eliminated technique are used to accelerate the convergence speed. Compared with the existing algorithms for solving TSP using swarm intelligen...
一、背景知识(1)起源1995年,受到鸟群觅食行为的规律性启发,James Kennedy和Russell Eberhart建立了一个简化算法模型,经过多年改进最终形成了 粒子群优化算法(Particle Swarm Optimization, PSO) ,也可称为粒…
To specify initial points, use the solver-based task, or use the command line. Algorithms For a description of the particle swarm optimization algorithm, see Particle Swarm Optimization Algorithm. Alternative Functionality App The Optimize Live Editor task provides a visual interface for particleswarm....
Particle swarm optimization algorithms have been successfully applied to discrete/valued optimization problems. However, in many cases the algorithms have been tailored specifically for the problem at hand. This paper proposes a generic set-based particle swarm optimization algorithm for use in discrete-...
For example, Particle Swarm Optimization and Simulated Annealing [51], Particle Swarm Optimization and Genetic Algorithm [52, 53], Particle Swarm Optimization and Support Vector Machines [54], Particle Swarm Optimization, Ant Colony Optimization and 3-Opt algorithms [55], Artificial Bee Colony ...
Combining with other intelligent algorithms: Liu et al.28 introduced the differential evolution (DE) algorithm into PSO to increase the particle swarm as diversity and reduce the probability of the population falling into local optimum. Particle swarm optimization (PSO) The particle swarm optimization ...
Opposition-based learning (OBL) is often embedded in intelligent optimization algorithms to solve practical engineering and mathematical problems, but the
It is of great importance noting that dealing with PSO has some advantages when compared with other optimization algorithms, once it has fewer parameters to adjust, and the ones that must be set are widely discussed in the literature [3]. Advertisement 2. Particle swarm optimization: an ...
Stochastic optimization algorithms like genetic algorithms (GAs) and particle swarm optimization (PSO) algorithms perform global optimization but waste computational effort by doing a random search. On the other hand deterministic algorithms like gradient descent converge rapidly but may get stuck in local...