Ran Cheng (程然)
Ran Cheng (程然)
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Particle swarm optimization
A Competitive Mechanism Based Multi-objective Particle Swarm Optimizer with Fast Convergence
In the past two decades, multi-objective optimization has attracted increasing interests in the evolutionary computation community, and …
Xingyi Zhang
,
Xiutao Zheng
,
Ran Cheng
,
Jianfeng Qiu
,
Yaochu Jin
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DOI
URL
Nature-Inspired Graph Optimization for Dimensionality Reduction
Graph-based dimensionality reduction has attracted a lot of attention in recent years. Such methods aim to exploit the graph …
Murillo G. Carneiro
,
Thiago H. Cupertino
,
Ran Cheng
,
Yaochu Jin
,
Liang Zhao
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DOI
Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems
Surrogate models have shown to be effective in assisting metaheuristic algorithms for solving computationally expensive complex …
Chaoli Sun
,
Yaochu Jin
,
Ran Cheng
,
Jinliang Ding
,
Jianchao Zeng
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DOI
Network Structural Optimization Based on Swarm Intelligence for Highlevel Classification
While most part of the complex network models are described in function of some growth mechanism, the optimization of a goal or certain …
Murillo G. Carneiro
,
Liang Zhao
,
Ran Cheng
,
Yaochu Jin
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DOI
A Competitive Swarm Optimizer for Large Scale Optimization
In this paper, a novel competitive swarm optimizer (CSO) for large scale optimization is proposed. The algorithm is fundamentally …
Ran Cheng
,
Yaochu Jin
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DOI
A Social Learning Particle Swarm Optimization Algorithm for Scalable Optimization
Social learning plays an important role in behavior learning among social animals. In contrast to individual (asocial) learning, social …
Ran Cheng
,
Yaochu Jin
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Demonstrator Selection in a Social Learning Particle Swarm Optimizer
Social learning plays an important role in behavior learning among social animals. Different from individual (asocial) learning, social …
Ran Cheng
,
Yaochu Jin
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DOI
Simulating Swarm Behaviuors for Optimisation by Learning from Neighbours
Competitive particle swarm optimizer (ComPSO) is a novel swarm intelligence algorithm that does not need any memory. Different from the …
Ran Cheng
,
Yaochu Jin
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DOI
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