Description |
1 online resource (xxx, 539 pages) : illustrations |
Series |
Lecture notes in computer science ; 11101 |
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LNCS sublibrary. SL 1, Theoretical computer science and general issues |
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Lecture notes in computer science ; 11101.
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LNCS sublibrary. SL 1, Theoretical computer science and general issues.
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Contents |
Intro -- Preface -- Organization -- Invited Talks -- The Shape of Art History in the Eyes of the Machine -- Self-organization, Emergence and Stigmergy: Coordination from the Bottom-up -- On Physarum Computations -- Contents -- Part I -- Contents -- Part II -- Numerical Optimization -- A Comparative Study of Large-Scale Variants of CMA-ES -- 1 Introduction -- 2 The bbob-Largescale COCO Testbed -- 3 The CMA-ES Algorithm and Some Large-Scale Variants -- 3.1 The (/w, )-CMA-ES -- 3.2 Large-Scale Variants of CMA-ES -- 4 Experimental Results -- 5 Discussion and Conclusion -- References |
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Design of a Surrogate Model Assisted (1+1)-ES -- 1 Introduction -- 2 Related Work -- 3 Analysis -- 4 Step Size Adaptation and Experiments -- 5 Conclusions -- References -- Generalized Self-adapting Particle Swarm Optimization Algorithm -- 1 Introduction -- 2 Particle Swarm Optimization: Modification and Hybridization Approaches -- 3 Generalized Particle Swarm Optimization -- 4 Adaptation Scheme -- 5 Experiment Setup -- 6 Results -- 7 Conclusions and Future Work -- References -- PSO-Based Search Rules for Aerial Swarms Against Unexplored Vector Fields via Genetic Programming -- 1 Introduction |
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2 Background -- 3 Semantics for VFPS Evolution in EDDA -- 4 Experimental Study -- 5 Evolved VFPS -- 6 Analysis and Discussion of the Evolved VFPS -- 7 Conclusions and Future Work -- References -- Towards an Adaptive CMA-ES Configurator -- 1 Introduction -- 2 Modular CMA-ES -- 3 Data Processing -- 3.1 Generation and Pre-processing of the Data -- 3.2 Constructing Optimal Adaptive Configurations -- 3.3 Discarding Partially Successful Configurations -- 4 Results -- 4.1 Maximally Adaptive -- 4.2 Single Split -- 4.3 Discussion -- 5 Conclusion and Future Work -- References -- Combinatorial Optimization |
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A Probabilistic Tree-Based Representation for Non-convex Minimum Cost Flow Problems -- 1 Introduction -- 2 Preliminaries -- 2.1 Priority-Based Representation -- 3 Proposed Method -- 3.1 Probabilistic Tree-Based Representation -- 3.2 Genetic Algorithm with PTbR -- 4 Experimental Studies -- 4.1 Parameter Settings -- 4.2 Results and Analysis -- 5 Conclusion -- References -- Comparative Study of Different Memetic Algorithm Configurations for the Cyclic Bandwidth Sum Problem -- 1 Introduction -- 2 Memetic Algorithms for the CBSP -- 2.1 Solution Encoding and Initialization -- 2.2 Selection |
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2.3 Crossover -- 2.4 Mutation -- 2.5 Inversion -- 2.6 Survival Strategy -- 2.7 Local Search -- 3 Experimental Results -- 4 Conclusions and Future Work -- References -- Efficient Recombination in the Lin-Kernighan-Helsgaun Traveling Salesman Heuristic -- 1 Introduction -- 2 LKH Algorithm -- 3 Partition Crossover -- 3.1 IPT -- 3.2 GPX2 -- 4 Results -- 5 Conclusions -- References -- Escherization with a Distance Function Focusing on the Similarity of Local Structure -- 1 Introduction -- 2 Related Work -- 2.1 Isohedral Tilings -- 2.2 Koizumi and Sugiharas's Formulation and Its Extension |
Summary |
This two-volume set LNCS 11101 and 11102 constitutes the refereed proceedings of the 15th International Conference on Parallel Problem Solving from Nature, PPSN 2018, held in Coimbra, Portugal, in September 2018. The 79 revised full papers were carefully reviewed and selected from 205 submissions. The papers cover a wide range of topics in natural computing including evolutionary computation, artificial neural networks, artificial life, swarm intelligence, artificial immune systems, self-organizing systems, emergent behavior, molecular computing, evolutionary robotics, evolvable hardware, parallel implementations and applications to real-world problems. The papers are organized in the following topical sections: numerical optimization; combinatorial optimization; genetic programming; multi-objective optimization; parallel and distributed frameworks; runtime analysis and approximation results; fitness landscape modeling and analysis; algorithm configuration, selection, and benchmarking; machine learning and evolutionary algorithms; and applications. Also included are the descriptions of 23 tutorials and 6 workshops which took place in the framework of PPSN XV |
Notes |
International conference proceedings |
Bibliography |
Includes bibliographical references and author index |
Notes |
Online resource; title from PDF title page (SpringerLink, viewed September 7, 2018) |
Subject |
Parallel processing (Electronic computers) -- Congresses
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Evolutionary computation -- Congresses
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Algorithms & data structures.
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Mathematical theory of computation.
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Discrete mathematics.
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Maths for computer scientists.
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Computer science.
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Artificial intelligence.
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Computers -- Programming -- Algorithms.
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Computers -- Data Processing.
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Computers -- Mathematical & Statistical Software.
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Computers -- Online Services -- General.
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Computers -- Intelligence (AI) & Semantics.
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Evolutionary computation
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Parallel processing (Electronic computers)
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Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Auger, Anne, editor.
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Fonseca, Carlos M. da, 1968- editor
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Lourenço, Nuno, editor
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Machado, Penousal, editor.
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Paquete, Luis F., editor.
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Whitley, L. Darrell, editor.
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ISBN |
9783319992532 |
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3319992538 |
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331999252X |
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9783319992525 |
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9783319992549 |
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3319992546 |
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