A multi-feature fusion-based evolutionary algorithm for large-scale sparse multi-objective optimization problems

Liping Wang; Bangjin Che; Qicang Qiu; Yue Gao; Peipei Zhao

doi:10.1007/s10489-025-06772-z

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A multi-feature fusion-based evolutionary algorithm for large-scale sparse multi-objective optimization problems

Liping Wang Bangjin Che Qicang Qiu Yue Gao Peipei Zhao

Year: 2025 Journal: Applied Intelligence Vol: 55 (13) Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-025-06772-z

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Keywords:

Computer science Scale (ratio) Feature (linguistics) Evolutionary algorithm Artificial intelligence Algorithm Optimization algorithm Pattern recognition (psychology) Mathematical optimization Mathematics

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Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Topology Optimization in Engineering

Physical Sciences → Engineering → Civil and Structural Engineering

A multi-feature fusion-based evolutionary algorithm for large-scale sparse multi-objective optimization problems

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