Parallel Problem Solving From Nature Ppsn Xv
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Author |
: Anne Auger |
Publisher |
: Springer |
Total Pages |
: 560 |
Release |
: 2018-08-30 |
ISBN-10 |
: 9783319992532 |
ISBN-13 |
: 3319992538 |
Rating |
: 4/5 (32 Downloads) |
Synopsis Parallel Problem Solving from Nature – PPSN XV by : Anne Auger
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.
Author |
: Anne Auger |
Publisher |
: Springer |
Total Pages |
: 515 |
Release |
: 2018-08-30 |
ISBN-10 |
: 9783319992594 |
ISBN-13 |
: 3319992597 |
Rating |
: 4/5 (94 Downloads) |
Synopsis Parallel Problem Solving from Nature – PPSN XV by : Anne Auger
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.
Author |
: Günter Rudolph |
Publisher |
: Springer Nature |
Total Pages |
: 643 |
Release |
: 2022-08-15 |
ISBN-10 |
: 9783031147210 |
ISBN-13 |
: 3031147219 |
Rating |
: 4/5 (10 Downloads) |
Synopsis Parallel Problem Solving from Nature – PPSN XVII by : Günter Rudolph
This two-volume set LNCS 13398 and LNCS 13399 constitutes the refereed proceedings of the 17th International Conference on Parallel Problem Solving from Nature, PPSN 2022, held in Dortmund, Germany, in September 2022. The 87 revised full papers were carefully reviewed and selected from numerous submissions. The conference presents a study of computing methods derived from natural models. Amorphous Computing, Artificial Life, Artificial Ant Systems, Artificial Immune Systems, Artificial Neural Networks, Cellular Automata, Evolutionary Computation, Swarm Computing, Self-Organizing Systems, Chemical Computation, Molecular Computation, Quantum Computation, Machine Learning, and Artificial Intelligence approaches using Natural Computing methods are just some of the topics covered in this field.
Author |
: Robert Schaefer |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 577 |
Release |
: 2010-09-03 |
ISBN-10 |
: 9783642158704 |
ISBN-13 |
: 3642158706 |
Rating |
: 4/5 (04 Downloads) |
Synopsis Parallel Problem Solving from Nature, PPSN XI by : Robert Schaefer
This book constitutes the refereed proceedings of the 11th International Conference on Parallel Problem Solving from Nature - PPSN XI, held in Kraków, Poland, in September 2010. The 131 revised full papers were carefully reviewed and selected from 232 submissions. The conference covers a wide range of topics, from evolutionary computation to swarm intelligence, from bio-inspired computing to real world applications. Machine learning and mathematical games supported by evolutionary algorithms as well as memetic, agent-oriented systems are also represented.
Author |
: |
Publisher |
: |
Total Pages |
: |
Release |
: 1991 |
ISBN-10 |
: OCLC:812371485 |
ISBN-13 |
: |
Rating |
: 4/5 (85 Downloads) |
Synopsis Lecture notes in computer science by :
Author |
: Robert Schaefer |
Publisher |
: Springer |
Total Pages |
: 762 |
Release |
: 2010-09-13 |
ISBN-10 |
: 9783642158445 |
ISBN-13 |
: 3642158447 |
Rating |
: 4/5 (45 Downloads) |
Synopsis Parallel Problem Solving from Nature, PPSN XI by : Robert Schaefer
We are very pleased to present to you this LNCS volume, the proceedings of the 11th International Conference on Parallel Problem Solving from Nature (PPSN 2010). PPSN is one of the most respected and highly regarded c- ference series in evolutionary computation, and indeed in natural computation aswell.Thisbiennialeventwas?rstheldinDortmundin1990, andtheninBr- sels (1992), Jerusalem (1994), Berlin (1996), Amsterdam (1998), Paris (2000), Granada (2002), Birmingham (2004), Reykjavik (2006) and again in Dortmund in 2008. PPSN 2010 received 232 submissions. After an extensive peer review p- cess involving more than 180 reviewers, the program committee chairs went through all the review reports and ranked the papers according to the revi- ers’comments. Each paper wasevaluated by at least three reviewers.Additional reviewers from the appropriate branches of science were invoked to review into disciplinary papers. The top 128 papers were ?nally selected for inclusion in the proceedings and presentation at the conference. This represents an acceptance rate of 55%, which guarantees that PPSN will continue to be one of the c- ferences of choice for bio-inspired computing and metaheuristics researchers all over the world who value the quality over the size of a conference. The papers included in the proceedingsvolumes covera wide range of topics, fromevolutionarycomputationto swarmintelligence, frombio-inspiredcomp- ing to real-world applications. Machine learning and mathematical games s- portedbyevolutionaryalgorithmsaswellasmemetic, agent-orientedsystemsare also represented. They all are the latest and best in natural computation. The proceedings are composed of two volumes divided into nine thematic sections.
Author |
: Thomas Philip Runarsson |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 1079 |
Release |
: 2006-09-13 |
ISBN-10 |
: 9783540389903 |
ISBN-13 |
: 3540389903 |
Rating |
: 4/5 (03 Downloads) |
Synopsis Parallel Problem Solving from Nature - PPSN IX by : Thomas Philip Runarsson
This book constitutes the refereed proceedings of the 9th International Conference on Parallel Problem Solving from Nature, PPSN 2006. The book presents 106 revised full papers covering a wide range of topics, from evolutionary computation to swarm intelligence and bio-inspired computing to real-world applications. These are organized in topical sections on theory, new algorithms, applications, multi-objective optimization, evolutionary learning, as well as representations, operators, and empirical evaluation.
Author |
: Anne Auger |
Publisher |
: |
Total Pages |
: 501 |
Release |
: 2018 |
ISBN-10 |
: 3319992600 |
ISBN-13 |
: 9783319992600 |
Rating |
: 4/5 (00 Downloads) |
Synopsis Parallel Problem Solving from Nature -- PPSN XV by : Anne Auger
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.
Author |
: Eiben |
Publisher |
: |
Total Pages |
: |
Release |
: 1998 |
ISBN-10 |
: 3662190052 |
ISBN-13 |
: 9783662190050 |
Rating |
: 4/5 (52 Downloads) |
Synopsis Parallel Problem Solving from Nature - PPSN V by : Eiben
Author |
: Agoston E. Eiben |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 1076 |
Release |
: 1998-09-16 |
ISBN-10 |
: 3540650784 |
ISBN-13 |
: 9783540650782 |
Rating |
: 4/5 (84 Downloads) |
Synopsis Parallel Problem Solving from Nature - PPSN V by : Agoston E. Eiben
This book constitutes the refereed proceedings of the 5th International Conference on Parallel Problem Solving from Nature, PPSN V, held in Amsterdam, The Netherlands, in September 1998. The 101 papers included in their revised form were carefully reviewed and selected from a total of 185 submissions. The book is divided into topical sections on convergence theory; fitness landscape and problem difficulty; noisy and non-stationary objective functions; multi-criteria and constrained optimization; representative issues; selection, operators, and evolution schemes; coevolution and learning; cellular automata, fuzzy systems, and neural networks; ant colonies, immune systems, and other paradigms; TSP, graphs, and satisfiability; scheduling, partitioning, and packing; design and telecommunications; and model estimations and layout problems.