A Particle Swarm Optimizer Incorporating Homogeneous Learning ...

Accelerated high-dimensional global optimization: A particle swarm ...

By incorporating the concept of homogeneity into the optimization process, the algorithm controls particle learning and generates distinct subpopulations for ...

Accelerated high-dimensional global optimization: : A particle swarm ...

By incorporating the concept of homogeneity into the optimization process, the algorithm controls particle learning and generates distinct ...

A Particle Swarm Optimizer Incorporating Homogeneous Learning ...

Download Citation | On Aug 1, 2023, Wen-Yuan Fu published Accelerated High-Dimensional Global Optimization: A Particle Swarm Optimizer Incorporating ...

Accelerated high-dimensional global optimization: A particle swarm ...

Semantic Scholar extracted view of "Accelerated high-dimensional global optimization: A particle swarm optimizer incorporating homogeneous learning and ...

Particle Swarm Optimization Algorithm and Its Applications

Throughout the centuries, nature has been a source of inspiration, with much still to learn from and discover about.

Learning Competitive Swarm Optimization - MDPI

Particle swarm optimization (PSO) is a popular method widely used in solving different optimization problems. Unfortunately, in the case of complex ...

Research on hybrid strategy Particle Swarm Optimization algorithm ...

Second, a reverse learning strategy is incorporated to enhance the intelligent adjustment capability of particles within the search space. This ...

Particle swarm optimization - Wikipedia

In computational science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate ...

transfer learning-based particle swarm optimization algorithm for ...

3 The Proposed Algorithm. In order to make full use of the knowledge of historical TSP problems, we propose a new PSO algorithm integrating with transfer ...

Heterogeneous differential evolution particle swarm optimization ...

HeDE-PSO adopts two differential evolution (DE) mutants to construct different characteristics of learning exemplars for PSO, one DE mutant is ...

Heterogeneous Cognitive Learning Particle Swarm Optimization for ...

The incorporation of transfer functions is a well-established and effective approach for mapping the continuous space into the discrete one. The essence of this ...

Network-Based Heterogeneous Particle Swarm Optimization and Its ...

Here, we systematically explore the impact of the heterogeneity of interaction network and individual's learning strategies to find that the ...

Hybrid particle swarm optimizer with fitness-distance balance and ...

Accelerated high-dimensional global optimization: A particle swarm optimizer incorporating homogeneous learning and autophagy mechanisms · Computer Science, ...

Differential Elite Learning Particle Swarm Optimization for Global ...

Integrating the above components together, we obtained the complete procedure of the proposed DELPSO, whose general steps are shown in Algorithm 1. The first ...

Heterogeneous cognitive learning particle swarm optimization for ...

... swarm optimization for large-scale optimization ... Accelerated high-dimensional global optimization: A particle swarm optimizer incorporating homogeneous ...

A Discrete Particle Swarm Optimization Approach to Compose ...

Collaborative learning is an educational strategy which is popularly used in project-based courses in schools and colleges. The diversity of group members ...

Learning Path Recommendation using Hybrid Particle Swarm ...

The method used in this research is Hybrid Particle Swarm Optimization (HPSO) which integrates Binary Particle Swarm Optimization (BPSO) and Discrete Particle ...

Particle Swarm Optimisation: Converges to local optima too quickly ...

Consider changing the parameters. Using w=0.5 'stabilizes' the particle and thus, preventing escape from local optima because it already ...

Adaptive heterogeneous particle swarm optimization with ... - J-Stage

Lynn and Suganthan (2015) proposed a heterogeneous comprehensive learning PSO algorithm (HCLPSO). Among all the ensemble approach based. PSO algorithms, HCLPSO ...

Accelerated high-dimensional global optimization: A particle swarm ...

Accelerated high-dimensional global optimization: A particle swarm optimizer incorporating homogeneous learning and autophagy mechanisms. Inform. Sci. Pub ...