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» Engineering a complex ontology with time
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GECCO
2009
Springer
175views Optimization» more  GECCO 2009»
15 years 2 months ago
Evolving soft robotic locomotion in PhysX
Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
John Rieffel, Frank Saunders, Shilpa Nadimpalli, H...
AAAI
2004
14 years 11 months ago
Ergonomics Analysis for Vehicle Assembly Using Artificial Intelligence
In this paper we discuss a deployed application at Ford Motor Company that utilizes AI technology for the analysis of potential ergonomic concerns at our assembly plants. The manu...
Nestor Rychtyckyj
PPSC
2001
14 years 11 months ago
Airline Crew Pairing Generation in Parallel
Crew pairing generation is a time consuming part of the complex process of airline crew scheduling. We present a parallel algorithm for this problem's solution and several im...
Diego Klabjan, Karsten Schwan
ISCAPDCS
2003
14 years 11 months ago
Parallel Relative Debugging with Dynamic Data Structures
This paper discusses the use of “relative debugging” as a technique for locating errors in a program that has been ported or developed using evolutionary software engineering ...
David Abramson, Raphael A. Finkel, Donny Kurniawan...
GECCO
2008
Springer
116views Optimization» more  GECCO 2008»
14 years 11 months ago
Multi-objective memetic approach for flexible process sequencing problems
This paper describes a multi-objective memetic approach for solving multi-objective flexible process sequencing problems in flexible manufacturing systems (FMSs). FMS can be des...
Jian-Hong Chen, Jian-Hung Chen