<--- Back to Details
First PageDocument Content
Penalty method / Constraint / Linear programming / Genetic algorithm / Evolutionary algorithm / Candidate solution / Interior point method / Shape optimization / Nonlinear programming / Mathematical optimization / Numerical analysis / Mathematical analysis
Date: 2010-09-08 06:10:09
Penalty method
Constraint
Linear programming
Genetic algorithm
Evolutionary algorithm
Candidate solution
Interior point method
Shape optimization
Nonlinear programming
Mathematical optimization
Numerical analysis
Mathematical analysis

Penalty Functions Alice E. Smith and David W. Coit

Add to Reading List

Source URL: 140.138.143.31

Download Document from Source Website

File Size: 163,93 KB

Share Document on Facebook

Similar Documents

Mathematical optimization / Numerical analysis / Mathematical analysis / Operations research / Linear programming / Convex optimization / Convex analysis / Ellipsoid method / Feasible region / Convex function / Linear inequality / Candidate solution

CS168: The Modern Algorithmic Toolbox Lecture #18: Linear and Convex Programming, with Applications to Sparse Recovery Tim Roughgarden & Gregory Valiant∗ May 25, 2016

DocID: 1rjsj - View Document

Mathematical optimization / Operations research / Cybernetics / Applied mathematics / Mathematical analysis / Systems science / Candidate solution / Constraint / Genetic algorithm / Spaceship / Feasible region / Interplanetary Transport System

Neuroevolutionary Constrained Optimization for Content Creation Antonios Liapis, Georgios N. Yannakakis, Member, IEEE and Julian Togelius, Member, IEEE Abstract— This paper presents a constraint-based procedural conten

DocID: 1ricJ - View Document

Mathematical optimization / Operations research / Symbol / Candidate solution / Model theory / Algorithm / Logic / Mathematics / Abstraction

at e d Luis Ceze * Easy to ed

DocID: 1qlra - View Document

Mathematical optimization / Operations research / Numerical analysis / Mathematical analysis / Linear programming / Convex optimization / Combinatorial optimization / Feasible region / Duality / Linear regression / Candidate solution / Linear-fractional programming

CS261: A Second Course in Algorithms Lecture #7: Linear Programming: Introduction and Applications∗ Tim Roughgarden† January 26, 2016

DocID: 1pWZz - View Document

Economy / Finance / Mathematical optimization / Money / Financial markets / Stock market / Operations research / EPEX SPOT / Societates Europaeae / Electricity market / Order / Candidate solution

COSMOS public description clean

DocID: 1pVOP - View Document