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09/18/2022
An Interactive Knowledge-based Multi-objective Evolutionary Algorithm Framework for Practical Optimization Problems
Experienced users often have useful knowledge and intuition in solving r...
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11/21/2020
Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization
"Innovization" is a task of learning common relationships among some or ...
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07/20/2020
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
In this paper, we propose an efficient NAS algorithm for generating task...
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05/12/2020
Neural Architecture Transfer
Neural architecture search (NAS) has emerged as a promising avenue for a...
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05/01/2020
It is Time for New Perspectives on How to Fight Bloat in GP
The present and future of evolutionary algorithms depends on the proper ...
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12/03/2019
Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks
Convolutional neural networks (CNNs) are the backbones of deep learning ...
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12/16/2018
Embedding Push and Pull Search in the Framework of Differential Evolution for Solving Constrained Single-objective Optimization Problems
This paper proposes a push and pull search method in the framework of di...
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10/08/2018
NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search
This paper introduces NSGA-Net, an evolutionary approach for neural arch...
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02/10/2018
MOEA/D with Angle-based Constrained Dominance Principle for Constrained Multi-objective Optimization Problems
This paper proposes a novel constraint-handling mechanism named angle-ba...
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01/31/2018
Modeling and Multi-objective Optimization of a Kind of Teaching Manipulator
A new kind of six degree-of-freedom teaching manipulator without actuato...
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07/27/2017
An Improved Epsilon Constraint-handling Method in MOEA/D for CMOPs with Large Infeasible Regions
This paper proposes an improved epsilon constraint-handling mechanism, a...
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04/01/2015
