Algorithm Genetic Python

O'Reilly Media - Working with Algorithms in Python  eBooks & eLearning

Posted by groovebeat at Sept. 4, 2014
O'Reilly Media - Working with Algorithms in Python

O'Reilly Media - Working with Algorithms in Python
WEB-Rip | MP4 | AVC1 @ 1250 Kbit/s | 1280x720 | AAC Stereo @ 128 Kbit/s 48 KHz | 9 Hours | 4.52 GB
Genre: Development, Programming | Language: English | Project Files Included

Learn how to make your Python code more efficient by using algorithms to solve a variety of tasks or computational problems. In this video course, you’ll learn algorithm basics and then tackle a series of problems—such as determining the shortest path through a graph and the minimum edit distance between two genomic…

Genetic Algorithms with Python  eBooks & eLearning

Posted by AlenMiler at Nov. 20, 2016
Genetic Algorithms with Python

Genetic Algorithms with Python by Clinton Sheppard
English | 29 Apr. 2016 | ISBN: 1540324001 | 282 Pages | MOBI/EPUB/PDF | 4.49 MB

Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello World! to optimizing one genetic algorithm with another, and finally genetic programming; thus preparing you to apply genetic algorithms to problems in your own field of expertise.

Genetic Algorithms with Python  eBooks & eLearning

Posted by Grev27 at Oct. 6, 2016
Genetic Algorithms with Python

Clinton Sheppard, "Genetic Algorithms with Python"
English | ISBN: n/a | 2016 | PDF/EPUB | 433 pages | 10 MB/2 MB

Introduction to Computer Science and Programming using Python  eBooks & eLearning

Posted by ParRus at April 28, 2016
Introduction to Computer Science and Programming using Python

Introduction to Computer Science and Programming using Python
WEBRip | English | MKV + Project files | 640 x 360 | AVC ~430 kbps | 29.970 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | 32h 34mn | 11.89 GB
Genre: Video Tutorial / Computer Science, Development, Programming

This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python programming language.

Introduction to Computer Science and Programming using Python (Repost)  eBooks & eLearning

Posted by Polik88 at Sept. 27, 2014
Introduction to Computer Science and Programming using Python (Repost)

Introduction to Computer Science and Programming using Python (Repost)
English | MP4 | 640x480 | AVC 768 Kbps 29.970 fps | AAC 80 Kbps 44.1 khz | 32h 34mn | 7.8 GB
Sample Files: present
Genre: Video Training

This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python programming language.
Network Models and Optimization: Multiobjective Genetic Algorithm Approach (repost)

Mitsuo Gen, Runwei Cheng, Lin Lin, "Network Models and Optimization: Multiobjective Genetic Algorithm Approach"
English | 2008 | ISBN: 1848001800 | 692 pages | PDF | 26,2 MB

Network models are critical tools in business, management, science and industry. Network Models and Optimization: Multiobjective Genetic Algorithm Approach presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing.
Network Models and Optimization: Multiobjective Genetic Algorithm Approach (repost)

Mitsuo Gen, Runwei Cheng, Lin Lin, "Network Models and Optimization: Multiobjective Genetic Algorithm Approach"
Sp ger | 2008 | ISBN: 1848001800 | 692 pages | PDF | 26,2 MB
Network Models and Optimization: Multiobjective Genetic Algorithm Approach (Repost)

Network Models and Optimization: Multiobjective Genetic Algorithm Approach
Publisher: Springer | ISBN: 1848001800 | edition 2008 | PDF | 692 pages | 16,5 mb

Network models are critical tools in business, management, science and industry. Network Models and Optimization: Multiobjective Genetic Algorithm Approach presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing.
"Optimizing Hydrocarbon Field Development Using a Genetic Algorithm Based Approach" by Antonio Carlos Bittencourt

"Optimizing Hydrocarbon Field Development Using a Genetic Algorithm Based Approach" by Antonio Carlos Bittencourt
Stanford University | 1997 | ISBN: n/a | 167 pages | PDF | 5 Mb

This work concerns the optimization of characteristic petroleum problems considering economic factors. A hybrid algorithm based on direct methods such as Genetic Algorithm, polytope search method, Tabu Search and memory strategy is presented. Hybrid techniques were found to improve the overall method.

Network Models and Optimization: Multiobjective Genetic Algorithm Approach  eBooks & eLearning

Posted by tot167 at Nov. 18, 2008
Network Models and Optimization: Multiobjective Genetic Algorithm Approach

Mitsuo Gen, Runwei Cheng, Lin Lin " Network Models and Optimization: Multiobjective Genetic Algorithm Approach"
Springer | 2008-07-29 | ISBN: 1848001800 | 692 pages | PDF | 16,4 MB