Ran Cheng (程然)
Ran Cheng (程然)
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Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts
Inverse model based multiobjective evolutionary algorithm aims to sample candidate solutions directly in the objective space, which …
Ran Cheng
,
Yaochu Jin
,
Kaname Narukawa
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DOI
Reference Vector Based a posteriori Preference Articulation for Evolutionary Multiobjective Optimization
Multiobjective evolutionary algorithms (MOEAs) usually achieve a set of nondominated solutions as the approximation of the Pareto …
Ran Cheng
,
Markus Olhofer
,
Yaochu Jin
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DOI
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
A Multi-swarm Evolutionary Framework based on a Feedback Mechanism
Most evolutionary algorithms, including particle swarm optimization (PSO) algorithms, involve at least one population (swarm) to …
Ran Cheng
,
Chaoli Sun
,
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
Bisexual Evolution: A Novel Bisexual Evolutionary Framework Based on the Fisher's Runaway Process
Sexual reproduction plays an important role in evolution. However, in classic genetic algorithms(GAs), the evolutionary process is only …
Ran Cheng
,
Min Yao
,
Xiaowei Xue
,
Bin Shen
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DOI
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