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ISCAS
2005
IEEE
179views Hardware» more  ISCAS 2005»
14 years 2 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
EUROGP
2004
Springer
123views Optimization» more  EUROGP 2004»
14 years 2 months ago
Global Distributed Evolution of L-Systems Fractals
Internet based parallel genetic programming (GP) creates fractal patterns like Koch’s snow flake. Pfeiffer, http://www.cs.ucl.ac.uk /staff/W.Langdon/pfeiffer.html, by analogy w...
William B. Langdon
GECCO
2003
Springer
156views Optimization» more  GECCO 2003»
14 years 2 months ago
Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic
Over the last few years, a few approaches have been proposed aiming to combine genetic and evolutionary computation (GECCO) with inductive logic programming (ILP). The underlying r...
Flaviu Adrian Marginean
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
14 years 2 months ago
Evolving Consensus Sequence for Multiple Sequence Alignment with a Genetic Algorithm
In this paper we present an approach that evolves the consensus sequence [25] for multiple sequence alignment (MSA) with genetic algorithm (GA). We have developed an encoding schem...
Conrad Shyu, James A. Foster
ICTAI
2000
IEEE
14 years 1 months ago
Constrained genetic algorithms and their applications in nonlinear constrained optimization
This paper presents a problem-independent framework that uni es various mechanisms for solving discrete constrained nonlinear programming (NLP) problems whose functions are not ne...
Benjamin W. Wah, Yixin Chen