Artificial Ants (ISTE)

Read [Nicolas Monmarché, Frédéric Guinand, Patrick Siarry Book] ^ Artificial Ants (ISTE) Online ^ PDF eBook or Kindle ePUB free. Artificial Ants (ISTE) Excellent overview for the right audience according to Lets Compare Options Preptorial. First, since the publisher (Wiley: listening?) didnt include a look inside -- here are the contents:1. From Real Ants to Artificial Ants, A. Lenoir and N. Monmarché.2. General Principles of Combinatorial Problems Solving by Ant Colony, A. Dutot et al.Excellent overview for the right audience First, since the publisher (Wiley: listening?) didnt include a look inside -- here are the contents:1.

Artificial Ants (ISTE)

Author :
Rating : 4.45 (512 Votes)
Asin : 1848211945
Format Type : paperback
Number of Pages : 576 Pages
Publish Date : 2017-02-18
Language : English

DESCRIPTION:

"In the main this is a suitable book if you are trying to get into the world of artificial ant-based algorithms or just want to see what sorts of things have been achieved. As such it is a useful survey." (I Programmer, 27 January 2011)  

Part 2 deals with broader issues and provides an overview of current research in the field of artificial ants.. This book provides an overview of the situation ant colony algorithms reached. During the last decade, artificial ants have experienced rapid development in the research community, mainly for solving optimization problems. Artificial Ants encompasses solution methods of hard optimization problems and new trends for collective intelligence. Part 1 helps to understand the basis of ant colony algorithms, and to discover a panorama of applications in the field of optimization, particularly in the industrial world

"Excellent overview for the right audience" according to Let's Compare Options Preptorial. First, since the publisher (Wiley: listening?) didn't include a "look inside" -- here are the contents:1. From Real Ants to Artificial Ants, A. Lenoir and N. Monmarché.2. General Principles of Combinatorial Problems Solving by Ant Colony, A. Dutot et al.Excellent overview for the right audience First, since the publisher (Wiley: listening?) didn't include a "look inside" -- here are the contents:1. From Real Ants to Artificial Ants, A. Lenoir and N. Monmarché.2. General Principles of Combinatorial Problems Solving by Ant Colony, A. Dutot et al.3. General Survey of Combinatorial Problems Treated by Artificial Ants, A. Dutot and Y. Pigné.Excellent overview for the right audience Let's Compare Options Preptorial First, since the publisher (Wiley: listening?) didn't include a "look inside" -- here are the contents:1. From Real Ants to Artificial Ants, A. Lenoir and N. Monmarché.2. General Principles of Combinatorial Problems Solving by Ant Colony, A. Dutot et al.3. General Survey of Combinatorial Problems Treated by Artificial Ants, A. Dutot and Y. Pigné.4. Artificial Ants for Continuous Optimization, P. Siarry et al.5. Ant Colony Optimization for Constraint-based Configuration, P. Albert, L. Henocque and M. Kleiner.6. Ant Colonies for the Unit Commitment Problem: From Optimization to Predictive Control, G. Sandou et al.7. . Artificial Ants for Continuous Optimization, P. Siarry et al.5. Ant Colony Optimization for Constraint-based Configuration, P. Albert, L. Henocque and M. Kleiner.6. Ant Colonies for the Unit Commitment Problem: From Optimization to Predictive Control, G. Sandou et al.7. . General Survey of Combinatorial Problems Treated by Artificial Ants, A. Dutot and Y. Pigné.Excellent overview for the right audience Let's Compare Options Preptorial First, since the publisher (Wiley: listening?) didn't include a "look inside" -- here are the contents:1. From Real Ants to Artificial Ants, A. Lenoir and N. Monmarché.2. General Principles of Combinatorial Problems Solving by Ant Colony, A. Dutot et al.3. General Survey of Combinatorial Problems Treated by Artificial Ants, A. Dutot and Y. Pigné.4. Artificial Ants for Continuous Optimization, P. Siarry et al.5. Ant Colony Optimization for Constraint-based Configuration, P. Albert, L. Henocque and M. Kleiner.6. Ant Colonies for the Unit Commitment Problem: From Optimization to Predictive Control, G. Sandou et al.7. . Artificial Ants for Continuous Optimization, P. Siarry et al.5. Ant Colony Optimization for Constraint-based Configuration, P. Albert, L. Henocque and M. Kleiner.6. Ant Colonies for the Unit Commitment Problem: From Optimization to Predictive Control, G. Sandou et al.7

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