Two_Arch2: An Improved Two-Archive Algorithm for Many-Objective Optimization

By Handing Wang, L. Jiao, Xin Yao. 2015

500 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Numerical Analysis

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Citations in the corpus

Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor (2020, background): “lems [19]–[21], mainly because of its gradient free and insensitiveness to local minimum [22]–[24].”
A Coevolutionary Framework for Constrained Multiobjective Optimization Problems (2021, background): “…algorithms have shown effectiveness on many challenging problems, including large-scale optimization problems [30], dynamic optimization problems [31], many-objective optimization problems [32], and so on, but the development of coevolution for constraint handling is still in the infancy [18].”
A Strength Pareto Evolutionary Algorithm Based on Reference Direction for Multiobjective and Many-Objective Optimization (2017, methodology): “Another method for MaOPs is to alleviate the loss of selection pressure by enhancing diversity management [2], [32], [41].”
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum] (2017, unknown): “Two_Arch2 [53] 2015 Two-ARChivE AlgoRiThm 2”
Localized Weighted Sum Method for Many-Objective Optimization (2018, background): “point-driven evolutionary algorithm [23], the improved twoarchive algorithm (Two_Arch2) [24] and [25]–[28].”
A Multiobjective Evolutionary Algorithm Based on Decision Variable Analyses for Multiobjective Optimization Problems With Large-Scale Variables (2016, methodology): “8) Other interesting issues include analysis of fitness function [54], parameter control [55], locating multiple optimal solutions of nonlinear equation systems [56], using visualization of Pareto-front approximations [57], decomposition [58], two-archive algorithm [59], and reduced objective comput”
Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization (2017, background): “For example, [6]–[8] developed several twoarchive EMO algorithms that use two “conceptually” complementary populations to strike the balance between convergence and diversity of the evolutionary process.”
Balancing Convergence and Diversity in Decomposition-Based Many-Objective Optimizers (2016, background): “The related work can be referred in [27] and [28].”
A Vector Angle-Based Evolutionary Algorithm for Unconstrained Many-Objective Optimization (2017, unknown): “[37] proposed the two-archive algorithm”
A benchmark test suite for evolutionary many-objective optimization (2017, unknown): “In recent years, a number of newalgorithmshave been proposed for dealingwithMaOPs [1], including the convergence enhancement based algorithms such as the grid-dominancebased evolutionary algorithm (GrEA) [2], the knee pointdriven evolutionary algorithm (KnEA) [3], the two-archive algorithm (Two_Arch”
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization (2016, unknown): “More recently, a two-archive algorithm for many-objective optimization (Two_Arch2) has been proposed based on indicator and dominance [52].”
Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System (2016, methodology): “employ a performance indicator as their selection criterion [18], [19].”
Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization (2020, background): “belong to the above three categories, such as the objective reduction [24], the shift-based density estimation [25], the twoarchive strategy [26], the boundary elimination selection [27],”
A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization (2019, methodology): “, the evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach (NSGA-III) [11], the hypervolume (HV)based evolutionary algorithm [16], the knee-point driven evolutionary algorithm [17], the improved two-archive algorithm for many-objective optimiza”