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GPEM
2007
71views more  GPEM 2007»
14 years 10 months ago
Integrating generative growth and evolutionary computation for form exploration
We present a novel means of algorithmically describing a growth process that is an extension of Lindenmayer’s Map L-systems. This growth process relies upon a set of rewrite rule...
Una-May O'Reilly, Martin Hemberg
EC
2000
96views ECommerce» more  EC 2000»
14 years 10 months ago
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied ...
David A. van Veldhuizen, Gary B. Lamont
CEC
2007
IEEE
15 years 4 months ago
Finding trade-off solutions close to KKT points using evolutionary multi-objective optimization
— Despite having a wide-spread applicability of evolutionary optimization procedures over the past few decades, EA researchers still face criticism about the theoretical optimali...
Kalyanmoy Deb, Rahul Tewari, Mayur Dixit, Joydeep ...
CEC
2007
IEEE
15 years 4 months ago
Light beam search based multi-objective optimization using evolutionary algorithms
Abstract— For the past decade or so, evolutionary multiobjective optimization (EMO) methodologies have earned wide popularity for solving complex practical optimization problems,...
Kalyanmoy Deb, Abhay Kumar
AE
2007
Springer
15 years 4 months ago
An Evolutionary Algorithm for the Block Stacking Problem
Abstract. How has a stack of n blocks to be arranged in order to maximize its overhang over a table edge while being stable? This question can be seen as an example application for...
Tim Hohm, Matthias Egli, Samuel Gaehwiler, Stefan ...