Parallel Problem Solving from Nature – Ppsn XV : 15th International Conferenc...

Description: Parallel Problem Solving from Nature – Ppsn XV : 15th International Conference, Coimbra, Portugal, September 8-12, 2018; Proceedings, Paperback by Auger, Anne (EDT); Fonseca, Carlos M. (EDT); Lourenço, Nuno (EDT); Machado, Penousal (EDT); Paquete, Luis (EDT), ISBN 3319992589, ISBN-13 9783319992587, Like New Used, Free shipping in the US

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.

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Book Title: Parallel Problem Solving from Nature – Ppsn XV : 15th Internation

Number of Pages: Xxi, 501 Pages

Publication Name: Parallel Problem Solving from Nature XV : 15th International Conference, Coimbra, Portugal, September 8-12, 2018, Proceedings, Part II

Language: English

Publisher: Springer International Publishing A&G

Publication Year: 2018

Subject: Programming / Algorithms, Numerical Analysis, Intelligence (Ai) & Semantics, Neural Networks

Type: Textbook

Item Weight: 28 Oz

Subject Area: Mathematics, Computers

Item Length: 9.3 in

Author: Carlos M. Fonseca

Item Width: 6.1 in

Series: Lecture Notes in Computer Science Ser.

Format: Trade Paperback