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07/31/2023
Discovering Adaptable Symbolic Algorithms from Scratch
Autonomous robots deployed in the real world will need control policies ...
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12/21/2022
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective
Efforts to improve the adversarial robustness of convolutional neural ne...
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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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08/08/2022
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment
The ongoing advancements in network architecture design have led to rema...
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06/03/2022
Optimal Design of Electric Machine with Efficient Handling of Constraints and Surrogate Assistance
Electric machine design optimization is a computationally expensive mult...
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05/15/2022
Variable Functioning and Its Application to Large Scale Steel Frame Design Optimization
To solve complex real-world problems, heuristics and concept-based appro...
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04/12/2022
pysamoo: Surrogate-Assisted Multi-Objective Optimization in Python
Significant effort has been made to solve computationally expensive opti...
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04/06/2022
GPSAF: A Generalized Probabilistic Surrogate-Assisted Framework for Constrained Single- and Multi-objective Optimization
Significant effort has been made to solve computationally expensive opti...
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12/21/2020
Analyzing Dominance Move (MIP-DoM) Indicator for Multi- and Many-objective Optimization
Dominance move (DoM) is a binary quality indicator that can be used in m...
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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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09/20/2020
Interpretable-AI Policies using Evolutionary Nonlinear Decision Trees for Discrete Action Systems
Black-box artificial intelligence (AI) induction methods such as deep re...
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08/25/2020
Evaluating Nonlinear Decision Trees for Binary Classification Tasks with Other Existing Methods
Classification of datasets into two or more distinct classes is an impor...
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08/02/2020
Interpretable Rule Discovery Through Bilevel Optimization of Split-Rules of Nonlinear Decision Trees for Classification Problems
For supervised classification problems involving design, control, other ...
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07/24/2020
Image-Based Benchmarking and Visualization for Large-Scale Global Optimization
In the context of optimization, visualization techniques can be useful f...
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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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05/13/2020
Many-Objective Software Remodularization using NSGA-III
Software systems nowadays are complex and difficult to maintain due to c...
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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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05/07/2020
Evolutionary Multi Objective Optimization Algorithm for Community Detection in Complex Social Networks
Most optimization-based community detection approaches formulate the pro...
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03/31/2020
MUXConv: Information Multiplexing in Convolutional Neural Networks
Convolutional neural networks have witnessed remarkable improvements in ...
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02/11/2020
A Non-Dominated Sorting Based Customized Random-Key Genetic Algorithm for the Bi-Objective Traveling Thief Problem
In this paper, we propose a method to solve a bi-objective variant of th...
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01/22/2020
Search-Based Software Engineering for Self-Adaptive Systems: One Survey, Five Disappointments and Six Opportunities
Search-Based Software Engineering (SBSE) is a promising paradigm that ex...
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01/22/2020
pymoo: Multi-objective Optimization in Python
Python has become the programming language of choice for research and in...
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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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09/30/2019
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points
The ultimate goal of multi-objective optimisation is to help a decision ...
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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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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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09/15/2017
Push and Pull Search for Solving Constrained Multi-objective Optimization Problems
This paper proposes a push and pull search (PPS) framework for solving c...
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05/17/2017
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications
Bilevel optimization is defined as a mathematical program, where an opti...
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01/20/2017
Integration of Preferences in Decomposition Multi-Objective Optimization
Most existing studies on evolutionary multi-objective optimization focus...
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12/21/2016
Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit
Multi-objective evolutionary algorithms (MOEAs) have achieved great prog...
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04/17/2015
Feasibility Preserving Constraint-Handling Strategies for Real Parameter Evolutionary Optimization
Evolutionary Algorithms (EAs) are being routinely applied for a variety ...
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03/15/2013
