Project Summary
Motivation:
Multi-objective optimization is an active field today and there's no F# library to do it.
Why F#?
Metaheuristical techniques are considered like heuristics for generalized problems. Polymorphism in F# allow to avoid assumptions about the Data Types.
Most of the mathematical definitions can be translated to working code effortlessly.
Side effects in F# allows to generate new random solution candidates without having to use monadic wrapping.
Function composition and partial defined functions allow certain transformations of problems that can't be done (at least in an elegant way) using for example Java or C++.
Quick Reference
- Project Links:
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Homepage
- Code Locations:
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http://lambdamop.googlecode.com/...
- Licenses:
- GPL-2.0+
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- Managers:
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In a Nutshell, lambdamop...
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took an estimated 1 years of effort (COCOMO model)
starting with its first commit in October, 2007
ending with its most recent commit almost 5 years ago
Activity
30 Day Summary Apr 23 2013 — May 23 2013
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12 Month Summary May 23 2012 — May 23 2013
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Community
Copyright
©
2013
Black Duck Software, Inc.
and its contributors, Some Rights Reserved. Unless otherwise marked, this work is licensed under a
Creative Commons Attribution 3.0 Unported License
. Ohloh
®
and the Ohloh logo are trademarks of
Black Duck Software, Inc.
in the United States and/or other jurisdictions. All other trademarks are the property of their respective holders.