Druck auf Anfrage Neuware - Printed after ordering - This five-volume set, LNCS 16985 16989, constitutes the refereed proceedings of the 19th International Conference on Parallel Problem Solving from Nature, PPSN 2026, held in Trento, Italy, during August 29-September 2, 2026.The 165 full papers presented in these proceedings were carefully reviewed and selected from 527 submissions. The papers cover the following topical sections:Part I: Theory & Runtime Analysis; Combinatorial Optimization; Landscape Analysis & Benchmarking;Part II: Multi-Objective Optimization; Swarm Intelligence & ACO;Part III: Evolution Strategies & Continuous Black-Box Optimization; Bayesian & Surrogate-Assisted Optimization; Quantum Optimization & Computing; EC for ML, Data Science & Domain Applications; General EA Methodology, Operators & Parallel EC;Part IV: Genetic Programming & Symbolic Regression; Quality-Diversity & Novelty Search; Robotics, Morphology & Design Encoding; Coevolution & Evolutionary Dynamics;Part V: RL, Hyper-heuristics & Algorithm Selection; LLMs + Evolutionary Computation; Neural Architecture Search, AutoML & Neuroevolution.

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Bibliographic Details

Title: Parallel Problem Solving from Nature - PPSN XIX : 19th International Conference, PPSN 2026, Trento, Italy, August 29 - September 2, 2026, Proceedings, Part V
Publisher: Springer Nature Switzerland AG
Publication Date: 2026
Language: English
ISBN 10: 3032362164
ISBN 13: 9783032362162
Binding: Taschenbuch
Condition: Neu
Dimensions: 235 millimeters width by 155 millimeters height by 29 millimeters depth
Weight: 809 grams

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Synopsis

This five-volume set, LNCS 16985–16989, constitutes the refereed proceedings of the 19th International Conference on Parallel Problem Solving from Nature, PPSN 2026, held in Trento, Italy, during August 29-September 2, 2026.

The 165 full papers presented in these proceedings were carefully reviewed and selected from 527 submissions. The papers cover the following topical sections:

Part I: Theory & Runtime Analysis; Combinatorial Optimization; Landscape Analysis & Benchmarking;

Part II: Multi-Objective Optimization; Swarm Intelligence & ACO;

Part III: Evolution Strategies & Continuous Black-Box Optimization; Bayesian & Surrogate-Assisted Optimization; Quantum Optimization & Computing; EC for ML, Data Science & Domain Applications; General EA Methodology, Operators & Parallel EC;

Part IV: Genetic Programming & Symbolic Regression; Quality-Diversity & Novelty Search; Robotics, Morphology & Design Encoding; Coevolution & Evolutionary Dynamics;

Part V: RL, Hyper-heuristics & Algorithm Selection; LLMs + Evolutionary Computation; Neural Architecture Search, AutoML & Neuroevolution.

"About this title" may belong to another edition of this title.

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