Multiswarm Multiobjective Particle Swarm Optimization with Simulated Annealing for Extracting Multiple Tests
نویسندگان
چکیده
منابع مشابه
Particle Swarm Optimization with Simulated Annealing for TSP
-Aiming at the shortcoming of basic PSO algorithm, that is, easily trapping into local minimum, we propose an advanced PSO algorithm with SA and apply this new algorithm for solving TSP problem. The core of algorithm is based on the PSO algorithm. SA method is used to slow down the degeneration of the PSO swarm and increase the swarm’s diversity. The comparative experiments were made between PS...
متن کاملMultiswarm comprehensive learning particle swarm optimization for solving multiobjective optimization problems
Comprehensive learning particle swarm optimization (CLPSO) is a powerful state-of-the-art single-objective metaheuristic. Extending from CLPSO, this paper proposes multiswarm CLPSO (MSCLPSO) for multiobjective optimization. MSCLPSO involves multiple swarms, with each swarm associated with a separate original objective. Each particle's personal best position is determined just according to the c...
متن کاملMultiswarm Particle Swarm Optimization with Transfer of the Best Particle
We propose an improved algorithm, for a multiswarm particle swarm optimization with transfer of the best particle called BMPSO. In the proposed algorithm, we introduce parasitism into the standard particle swarm algorithm (PSO) in order to balance exploration and exploitation, as well as enhancing the capacity for global search to solve nonlinear optimization problems. First, the best particle ...
متن کاملParticle swarm and simulated annealing for multi-global optimization
Particle swarm and simulated annealing optimization algorithms proved to be valid in finding a global optimum in the bound constrained optimization context. However, their original versions can only detect one global optimum even if the problem has more than one solution. In this paper we propose modifications to both algorithms. In the particle swarm optimization algorithm we introduce gradien...
متن کاملSearch Optimization using Multiobjective Particle Swarm Optimization
The reusability provides many benefits such as increasing productivity, Reliability & Quality along with reducing the cost &development time and if the number of components developed is not according to the requirement then the technique of reusability is of great help. The main problem faced by the CBSE in reusability is to select the component for reuse as before reusing there is need to retr...
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: Scientific Programming
سال: 2020
ISSN: 1058-9244,1875-919X
DOI: 10.1155/2020/7081653