On the solution of min-max problems in robust optimization

Massimiliano Vasile

On the solution of min-max problems in robust optimization

Massimiliano Vasile

Mechanical And Aerospace Engineering

Research output: Contribution to conference › Paper

354 Downloads (Pure)

Abstract

The paper presents a simple memetic algorithm for the solution of min-max problems. It will be shown how some of the heuristics provide the analogous mechanism of other evolutionary and non-evolutionary heuristics proposed in the literature. It will be also argued that some existing heuristics might not be sufficient to correctly solve the problem and to avoid the so called red-queen effect.

Original language	English
Number of pages	6
Publication status	Published - 1 Jul 2014
Event	The EVOLVE 2014 International Conference, A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computing - Jian-Guo Hotel, Beijing, China Duration: 1 Jul 2014 → 4 Jul 2014

Conference

Conference	The EVOLVE 2014 International Conference, A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computing
Country/Territory	China
City	Beijing
Period	1/07/14 → 4/07/14

Keywords

problem solving
min-max problems
robust design optimisation

Access to Document

Vasile-M-EVOLVE-2014-On-the-solution-min-max-problem-robust-optimization-Jul-2014Accepted author manuscript, 94.1 KB

Cite this

@conference{8202b0d5dcee4503a732d2edbefd5fb6,

title = "On the solution of min-max problems in robust optimization",

abstract = "The paper presents a simple memetic algorithm for the solution of min-max problems. It will be shown how some of the heuristics provide the analogous mechanism of other evolutionary and non-evolutionary heuristics proposed in the literature. It will be also argued that some existing heuristics might not be sufficient to correctly solve the problem and to avoid the so called red-queen effect.",

keywords = "problem solving, min-max problems, robust design optimisation",

author = "Massimiliano Vasile",

year = "2014",

month = jul,

day = "1",

language = "English",

note = "The EVOLVE 2014 International Conference, A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computing ; Conference date: 01-07-2014 Through 04-07-2014",

}

TY - CONF

T1 - On the solution of min-max problems in robust optimization

AU - Vasile, Massimiliano

PY - 2014/7/1

Y1 - 2014/7/1

N2 - The paper presents a simple memetic algorithm for the solution of min-max problems. It will be shown how some of the heuristics provide the analogous mechanism of other evolutionary and non-evolutionary heuristics proposed in the literature. It will be also argued that some existing heuristics might not be sufficient to correctly solve the problem and to avoid the so called red-queen effect.

AB - The paper presents a simple memetic algorithm for the solution of min-max problems. It will be shown how some of the heuristics provide the analogous mechanism of other evolutionary and non-evolutionary heuristics proposed in the literature. It will be also argued that some existing heuristics might not be sufficient to correctly solve the problem and to avoid the so called red-queen effect.

KW - problem solving

KW - min-max problems

KW - robust design optimisation

UR - http://www.evolve-conference.org/previous-editions/evolve-2014-china

M3 - Paper

T2 - The EVOLVE 2014 International Conference, A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computing

Y2 - 1 July 2014 through 4 July 2014

ER -

On the solution of min-max problems in robust optimization

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this