Evolutionary Multi-Criterion Optimization 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings /
Evolutionary Multi-Criterion Optimization 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings / [electronic resource] :
edited by Kalyanmoy Deb, Erik Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, Patrick Reed.
- 1st ed. 2019.
- XX, 757 p. 374 illus., 228 illus. in color. online resource.
- Theoretical Computer Science and General Issues, 11411 2512-2029 ; .
- Theoretical Computer Science and General Issues, 11411 .
This book constitutes the refereed proceedings of the 10th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2019 held in East Lansing, MI, USA, in March 2019. The 59 revised full papers were carefully reviewed and selected from 76 submissions. The papers are divided into 8 categories, each representing a key area of current interest in the EMO field today. They include theoretical developments, algorithmic developments, issues in many-objective optimization, performance metrics, knowledge extraction and surrogate-based EMO, multi-objective combinatorial problem solving, MCDM and interactive EMO methods, and applications.
9783030125981
10.1007/978-3-030-12598-1 doi
Algorithms.
Artificial intelligence.
Computer science.
Computer science--Mathematics.
Computer networks .
Artificial intelligence--Data processing.
Algorithms.
Artificial Intelligence.
Models of Computation.
Mathematics of Computing.
Computer Communication Networks.
Data Science.
QA76.9.A43
518.1
This book constitutes the refereed proceedings of the 10th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2019 held in East Lansing, MI, USA, in March 2019. The 59 revised full papers were carefully reviewed and selected from 76 submissions. The papers are divided into 8 categories, each representing a key area of current interest in the EMO field today. They include theoretical developments, algorithmic developments, issues in many-objective optimization, performance metrics, knowledge extraction and surrogate-based EMO, multi-objective combinatorial problem solving, MCDM and interactive EMO methods, and applications.
9783030125981
10.1007/978-3-030-12598-1 doi
Algorithms.
Artificial intelligence.
Computer science.
Computer science--Mathematics.
Computer networks .
Artificial intelligence--Data processing.
Algorithms.
Artificial Intelligence.
Models of Computation.
Mathematics of Computing.
Computer Communication Networks.
Data Science.
QA76.9.A43
518.1