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» The State Problem for Evolutionary Testing
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SOCO
2010
Springer
13 years 5 months ago
Automatic detection of trends in time-stamped sequences: an evolutionary approach
This paper presents an evolutionary algorithm for modeling the arrival dates in time-stamped data sequences such as newscasts, e-mails, IRC conversations, scientific journal artic...
Lourdes Araujo, Juan Julián Merelo Guerv&oa...
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
13 years 8 months ago
A multi-start quantum-inspired evolutionary algorithm for solving combinatorial optimization problems
Quantum-inspired evolutionary algorithms (QIEAs), as a subset of evolutionary computation, are based on the principles of quantum computing such as quantum bits and quantum superp...
Parvaz Mahdabi, Saeed Jalili, Mahdi Abadi
CEC
2009
IEEE
14 years 2 months ago
Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems
Abstract— Evolutionary multi-objective optimization algorithms are commonly used to obtain a set of non-dominated solutions for over a decade. Recently, a lot of emphasis have be...
Karthik Sindhya, Ankur Sinha, Kalyanmoy Deb, Kaisa...
GECCO
2007
Springer
189views Optimization» more  GECCO 2007»
14 years 1 months ago
A more bio-plausible approach to the evolutionary inference of finite state machines
With resemblance of finite-state machines to some biological mechanisms in cells and numerous applications of finite automata in different fields, this paper uses analogies an...
Hooman Shayani, Peter J. Bentley
CEC
2009
IEEE
14 years 2 months ago
Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems
— In this paper, the performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on a set of bound-constrained synthetic test problems is reported. The hybr...
Santosh Tiwari, Georges Fadel, Patrick Koch, Kalya...