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» On the Brittleness of Evolutionary Algorithms
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GECCO
2004
Springer
104views Optimization» more  GECCO 2004»
16 years 4 days ago
Optimal Operating Conditions for Overhead Crane Maneuvering Using Multi-objective Evolutionary Algorithms
While operating a crane for maximum productivity, the time of operation and the required energy are two important conflicting factors faced by a crane operator. In such a case, tr...
Kalyanmoy Deb, Naveen Kumar Gupta
180
Voted
ICTAI
2003
IEEE
16 years 23 hour ago
Engineering Optimization Using a Simple Evolutionary Algorithm
This paper presents a simple ¢¤£¦¥¨§© Evolution Strategy and three simple selection criteria to solve engineering optimization problems. This approach avoids the use of a...
Efrén Mezura-Montes, Carlos A. Coello Coell...
186
Voted
WOSP
2010
ACM
15 years 7 months ago
Automatically improve software architecture models for performance, reliability, and cost using evolutionary algorithms
Quantitative prediction of quality properties (i.e. extrafunctional properties such as performance, reliability, and cost) of software architectures during design supports a syste...
Anne Martens, Heiko Koziolek, Steffen Becker, Ralf...
104
Voted
GECCO
2009
Springer
16 years 1 months ago
Optimizing low-discrepancy sequences with an evolutionary algorithm
François-Michel De Rainville, Christian Gag...
GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
16 years 1 months ago
A multiobjective evolutionary algorithm for the task based sailor assignment problem
Dipankar Dasgupta, Fernando Niño, Deon Garr...