Evolutionary Multi-Criterion Optimization

10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings

Kalyanmoy Deb, Erik Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, Patrick Reed (Herausgeber)

Buch | Softcover

XX, 757 Seiten

2019 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-12597-4 (ISBN)

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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.

Erscheinungsdatum	06.02.2019
Reihe/Serie	Lecture Notes in Computer Science
Reihe/Serie	Theoretical Computer Science and General Issues
Zusatzinfo	XX, 757 p. 374 illus., 228 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	1175 g
Themenwelt	Informatik ► Theorie / Studium ► Algorithmen
Themenwelt	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
Schlagworte	Algorithm analysis and problem complexity • Applications • Artificial Intelligence • Computer Networks • Computer Science • conference proceedings • evolutionary algorithms • evolutionary computation • Evolutionary Multiobjective Optimization • Genetic algorithms • graph theory • Heuristic Methods • Informatics • machine learning • Metaheuristics • Multiobjective Optimization • NSGA-II • Numerical Methods • Optimal Solutions • pareto front • Pareto-optimal • Pareto principle • Problem Solving • Research • Simulated annealing • telecommunication traffic
ISBN-10	3-030-12597-1 / 3030125971
ISBN-13	978-3-030-12597-4 / 9783030125974
Zustand	Neuware