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» Multiobjective optimization for dynamic environments
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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
14 years 11 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
CEC
2008
IEEE
15 years 4 months ago
On the evolution of laser pulses under a dynamic Quantum Control environment
Abstract— This paper introduces the optimization of a Quantum Control application, the so-called molecular alignment problem, subject to a dynamic environment. Given the relative...
Ofer M. Shir, Thomas Bäck, Herschel Rabitz, M...
HAPTICS
2010
IEEE
15 years 2 months ago
Optimization Criteria for Human Trajectory Formation in Dynamic Virtual Environments
Which criteria determine the formation of rest-to-rest arm movements when interacting with virtual mass-damper dynamics? A novel bilevel optimization approach is used to find the ...
Sebastian Albrecht, Carolina Passenberg, Marion So...
CORR
2010
Springer
94views Education» more  CORR 2010»
14 years 7 months ago
Using virtual human for an interactive customer-oriented constrained environment design
: For industrial product design, it is very important to take into account assembly/disassembly and maintenance operations during the conceptual and prototype design stage. For the...
Liang Ma, Ruina Ma, Damien Chablat, Fouad Bennis
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
14 years 11 months ago
Evolutionary path planner for UAVs in realistic environments
This paper presents a path planner for Unmanned Air Vehicles (UAVs) based on Evolutionary Algorithms (EA) that can be used in realistic risky scenarios. The path returned by the a...
Jesús Manuel de la Cruz, Eva Besada-Portas,...