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EMO
2005
Springer
68views Optimization» more  EMO 2005»
15 years 3 months ago
Multi-objective Optimization of Problems with Epistemic Uncertainty
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Philipp Limbourg
GECCO
2000
Springer
138views Optimization» more  GECCO 2000»
15 years 1 months ago
Domain Knowledge and Representation in Genetic Algorithms for Real World Scheduling Problems
This paper discusses the issues that arise in the design and implementation of an industrialstrength evolutionary-based system for the optimization of the monthly work schedules f...
Ioannis T. Christou, Armand Zakarian
ISCAS
2005
IEEE
179views Hardware» more  ISCAS 2005»
15 years 3 months ago
Robust stabilization of control systems using piecewise linear Lyapunov functions and evolutionary algorithm
— Piecewise linear Lyapunov functions are used to design control gain matrices so that closed systems are robust stable and attractive regions are expanded as large as possible i...
K. Tagawa, Y. Ohta
APCSAC
2005
IEEE
15 years 3 months ago
Rule-Based Power-Balanced VLIW Instruction Scheduling with Uncertainty
Abstract. Power-balanced instruction scheduling for Very Long Instruction Word (VLIW) processors is an optimization problem which requires a good instruction-level power model for ...
Shu Xiao, Edmund Ming-Kit Lai, A. Benjamin Premkum...
EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
15 years 1 months ago
Evolving Crossover Operators for Function Optimization
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Laura Diosan, Mihai Oltean