OPIM 319 - Advanced Decision Systems:Evolutionary Computation

Institution:

University of Pennsylvania

Subject:

Description:

Staff. Evolutionary computation is an exciting new technology that applies principles of evolution - such as natural selection, genetic recombination and mutation - to discover solutions to problems, adapt to the environment, and even make it possible for computers to program themselves. This seminar explores genetic algorithms, genetic programming, and classifier systems. It focuses on practical applications of this technology, including: discovering profitable investment strategies, formulating strategies for multilateral negotiations, managing a transcontinental pipeline, modeling decision processes of consumers, and multiobjective planning and scheduling of production. Students apply this technology to sample problems and work in groups on larger term projects of their own choice. Common Lisp is used for all projects, and is learned during the semester. To help students learn Lisp, we will discuss readings from the Lisp textbook and work through generic code written in Lisp for evolutionary computation.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.upenn.edu

Phone Number:

(215) 898-5000

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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