An Expanded Heterogeneous Particle Swarm Optimization Based ...

This work presents a heterogeneous multiswarm PSO algorithm based on adaptive inertia weight strategies called (A-MsPSO).

An Expanded Heterogeneous Particle Swarm Optimization Based

To overcome the above feebleness, this work presents a heterogeneous multiswarm PSO algorithm based on adaptive inertia weight strategies called (A-MsPSO). The ...

To overcome the above feebleness, this work presents a heterogeneous multiswarm PSO algorithm based on adaptive inertia weight strategies called ...

Research Article An Expanded Heterogeneous Particle Swarm ...

To overcome the above feebleness, this work presents a heterogeneous multiswarm PSO algorithm based on adaptive inertia weight strategies ...

An expanded particle swarm optimization based on multi-exemplar ...

Particle swarm optimization algorithm (PSO) is a widely known swarm intelligence algorithm proposed by Kennedy and Eberhart in 1995 [15]. In PSO, a population ...

Heterogeneous comprehensive learning particle swarm optimization ...

Good convergence behavior of a population-based algorithm can be obtained when an appropriate balance between exploration and exploitation processes is found.

Heterogeneous differential evolution particle swarm optimization ...

Novel learning strategies are an active research direction of PSO. To enhance the adaptability of learning exemplar-based algorithms, scholars ...

Improved Multi-Particle Swarm Optimization based on ... - IEEE Xplore

Furthermore, on the CEC' 13 test suite, comparison results between the extended heterogeneous multi swarm PSO algorithm (XMsPSO) and other nine popular PSO show ...

(PDF) Heterogeneous Particle Swarm Optimizers - ResearchGate

Thus, the performance benefits of a priori parameter tuning are limited. ... An adaptive particle swarm optimization algorithm based on ...

Research on hybrid strategy Particle Swarm Optimization algorithm ...

Reference describes an enhanced PSO algorithm based on Hummingbird Flight (HBF), which improves search quality and diversity. Comprehensive ...

Particle Swarm-Based Cell Range Expansion for Heterogeneous ...

We couple the cell range expansion (CRE) technique with a particle swarm optimization (PSO) algorithm to maximize the number of users whose downlink ...

Adaptive heterogeneous comprehensive learning particle swarm ...

To overcome this problem, an adaptive heterogeneous comprehensive learning particle swarm optimization with history information and dimensional mutation (AHPSO) ...

[PDF] Particle swarm optimization based energy efficient clustering ...

Semantic Scholar extracted view of "Particle swarm optimization based energy efficient clustering and sink mobility in heterogeneous wireless sensor ...

Heterogeneous particle swarm optimization - ACM Digital Library

Engelbrecht, A.: CIlib: A Component-based Framework for Plug-and-Simulate. In: International Conference on Hybrid Computational Intelligence Systems, Barcelona, ...

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

In this algorithm, particles can use an exploration strategy and an exploitation strategy to update their positions. The historical success rates of the two ...

Design and optimization of haze prediction model based on particle ...

... enhanced the PSO algorithm for more ... Haze prediction method based on particle swarm algorithm and CPU-GPU heterogeneous parallel SVR.

Heterogeneous Cooperative Bare-Bones Particle Swarm ... - MDPI

Generally, in population-based algorithms, including the PSO algorithm, an agent in one population represents an intact n-dimensional candidate solution. In the ...

Improved heterogeneous particle swarm optimization

In the proposed IHPSO, auto regulation mechanism is proposed. The new positions update are based on the experience of the particles' local best ...

An agent-assisted heterogeneous learning swarm optimizer ... - OUCI

Kennedy, Particle swarm optimization, с. 1942; Eberhart, A new optimizer using particle swarm theory, с. 39; Wang, Committee-based active learning for ...

Heterogeneous comprehensive learning particle swarm optimization ...

Good convergence behavior of a population-based algorithm can be obtained when an appropriate balance between exploration and exploitation ...