Jul 24, 2023 · This paper proposes to use a matrix to evaluate the variable correlations and perform adaptive updates, which achieve the highest accuracy of sparse ...

We design an adaptive fitness for Mask updates. Moreover, we increase the number of decision variables per flip according to the number of decision variables.

An evolutionary algorithm for solving large-scale sparse MOPs that suggests a new population initialization strategy and genetic operators by taking the ...

This paper proposes an adaptive two-stage large-scale multi-objective evolutionary algorithm, in which a neural network-based accelerating optimizer is ...

Feb 17, 2024 · An adaptive fitness evolutionary algorithm for sparse large-scale multi-objective optimization problems ; Ge Zhang ; Ni Wu ; Chaonan Shen.

An adaptive fitness evolutionary algorithm for sparse largeYscale multiYobjective ... based evolutionary algorithm for large-scale sparse multi-objective.

The proposed algorithm outperforms existing up-to-date EAs for sparse LSMOPs in experiments on three real-world problems and eight benchmark problems.

May 18, 2019 · This paper proposes an evolutionary algorithm for solving large-scale sparse MOPs. The proposed algorithm suggests a new population ...

Jan 9, 2023 · An algorithm based on multiple sparse detection is proposed in this paper. The algorithm applies an adaptive sparse genetic operator that can generate sparse ...

This paper proposes an evolutionary algorithm for solving LSSMOPs. The proposed algorithm adopts an adaptive dimensionality reduction method to achieve a ...