Evolutionary Multi-Criterion Optimization : 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, Proceedings / edited by Hisao Ishibuchi, Qingfu Zhang, Ran Cheng, Ke Li, Hui Li, Handing Wang, Aimin Zhou.

Format:

Book

Contributor:

Ishibuchi, Hisao, Editor.

Zhang, Qingfu, Editor.

Cheng, Ran, Editor.

Li, Ke, Editor.

Li, Hui, Editor.

Wang, Handing., Editor.

Zhou, Aimin, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 12654

Theoretical Computer Science and General Issues, 2512-2029 ; 12654

Language:

English

Subjects (All):

Algorithms.

Computer science.

Artificial intelligence.

Computer science-Mathematics.

Design and Analysis of Algorithms.

Models of Computation.

Artificial Intelligence.

Mathematics of Computing.

Local Subjects:

Design and Analysis of Algorithms.

Models of Computation.

Artificial Intelligence.

Mathematics of Computing.

Physical Description:

1 online resource (XVI, 781 pages) : 235 illustrations, 193 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021 held in Shenzhen, China, in March 2021. The 47 full papers and 14 short papers were carefully reviewed and selected from 120 submissions. The papers are divided into the following topical sections: theory; algorithms; dynamic multi-objective optimization; constrained multi-objective optimization; multi-modal optimization; many-objective optimization; performance evaluations and empirical studies; EMO and machine learning; surrogate modeling and expensive optimization; MCDM and interactive EMO; and applications.

Contents:

Theory

It Is Hard to Distinguish Between Dominance Resistant Solutions and Extremely Convex Pareto Optimal Solutions

On Analysis of Irregular Pareto Front Shapes

On Statistical Analysis of MOEAs with Multiple Performance Indicators

Algorithms

Population Sizing of Evolutionary Large-Scale Multiobjective Optimization

Kernel Density Estimation for Reliable Biobjective Solution of Stochastic Problems

Approximating Pareto Fronts in Evolutionary Multiobjective Optimization with Large Population Size

Multitask Feature Selection for Objective Reduction

Embedding a Repair Operator in Evolutionary Single and Multi-Objective Algorithms - An Exploitation-Exploration Perspective

Combining User Knowledge and Online Innovization for Faster Solution to Multi-Objective Design Optimization Problems

Improving the Efficiency of R2HCA-EMOA

Pareto Front Estimation Using Unit Hyperplane

Towards Multi-Objective Co-Evolutionary Problem Solving

MOEA/D for Multiple Multi-Objective Optimization

Using a Genetic Algorithm-Based Hyper-heuristic to Tune MOEA/D for a Set of Benchmark Test Problems

Diversity-Driven Selection Operator for Combinatorial Optimization

Dynamic Multi-Objective Optimization

An Online Machine Learning-Based Prediction Strategy for Dynamic Evolutionary Multi-Objective Optimization

Generalized Test Suite for Continuous Dynamic Multi-Objective Optimization

A Special Point and Transfer Component Analysis based Dynamic Multi-Objective Optimization Algorithm

Constrained Multi-Objective Optimization

An Improved Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization

An Improved Epsilon Method with M2M for Solving Imbalanced CMOPs with Simultaneous Convergence-Hard and Diversity-Hard Constraints

Constrained Bi-objective Surrogate-Assisted Optimization of Problems with Heterogeneous Evaluation Times: Expensive Objectives and Inexpensive Constraints

SAMO-COBRA: A Fast Surrogate Assisted Constrained Multi-Objective Optimization Algorithm

A Fast Converging Evolutionary Algorithm for Constrained Multiobjective Portfolio Optimization

Manifold Learning Inspired Mating Restriction for Evolutionary Constrained Multiobjective Optimization

Multi-Modal Optimization

Multi3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization

Niching Diversity Estimation for Multi-modal Multi-Objective Optimization

Using Neighborhood-Based Density Measures for Multimodal Multi-Objective Optimization

Many-Objective Optimization

The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization

Handling Priority Levels in Mixed Pareto-Lexicographic Many-Objective Optimization Problems

Many-Objective Pathfinding based on Fréchet Similarity Metric

The Influence of Swarm Topologies in Many-Objective Optimization Problems

Performance Evaluations and Empirical Studies

An Overview of Pair-Potential Functions for Multi-Objective Optimization

On the Parameter Setting of the Penalty-Based Boundary Intersection Method in MOEA/D

A Comparison Study of Evolutionary Algorithms on Large-Scale Sparse Multi-Objective Optimization Problems

EMO and Machine Learning

Discounted Sampling Policy Gradient for Robot Multi-Objective Visual Control

Lexicographic Constrained Multicriteria Ordered Clustering

Local Search is a Remarkably Strong Baseline for Neural Architecture Search

A Study on Realtime Task Selection based on Credit Information Updating in Evolutionary Multitasking

Multi-Objective Neural Architecture Search with Almost No Training

On the Interaction Between Distance Functions and Clustering Criteria in Multi-objective Clustering

Surrogate Modeling and Expensive Optimization

Investigating normalization bounds for hypervolume-based infill criterion for expensive multiobjective optimization

Pareto-Based Bi-indicator Infill Sampling Criterion for Expensive Multiobjective Optimization

MOEA/D with Gradient-Enhanced Kriging for Multiobjective Optimization

Exploring Constraint Handling Techniques in Real-world Problems on MOEA/D with Limited Budget of Evaluations

Dimension Dropout for Evolutionary High-Dimensional Expensive Multiobjective Optimization

Multiobjective Optimization with Fuzzy Classification-assisted Environmental Selection

Surrogate-Assisted Multi-Objective Particle Swarm Optimization for Building Energy Saving Design

Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model

MCDM and Interactive EMO

An Artificial Decision Maker for Comparing Reference Point Based Interactive Evolutionary Multiobjective Optimization Methods

To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes

Interpretable Self-Organizing Maps (iSOM) for Visualization of Pareto Front in Multiple Objective Optimization

Applications

An Investigation of Decomposition-based Metaheuristics for Resource-Constrained Multi-objective Feature Selection in Software Product Lines

Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation

Multi-Objective Reinforcement Learning based Multi-Microgrid System Optimisation Problem

Pareto Optimization for Influence Maximization in Social Networks

Parallel Algorithms for Multiobjective Virtual Network Function Placement Problem

Using Multi-Objective Grammar-based Genetic Programming to Integrate Multiple Social Theories in Agent-based Modeling

Change Detection in SAR Images based on Evolutionary Multiobjective Optimization and Superpixel Segmentation

Multi-Objective Emergency Resource Dispatch Based on Coevolutionary Multiswarm Particle Swarm Optimization

Prediction of Blast Furnace Temperature Based on Evolutionary Optimization

Multiobjective Optimization Design of Broadband Dual-Polarized Base Station Antenna.

Other Format:

Printed edition:

ISBN:

978-3-030-72062-9

9783030720629

Access Restriction:

Restricted for use by site license.