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MABS
2005
Springer
14 years 2 months ago
Automatic Tuning of Agent-Based Models Using Genetic Algorithms
When developping multi-agent systems (MAS) or models in the context of agent-based simulation (ABS), the tuning of the model constitutes a crucial step of the design process. Inde...
Benoît Calvez, Guillaume Hutzler
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
14 years 2 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
EUROGP
2001
Springer
124views Optimization» more  EUROGP 2001»
14 years 29 days ago
An Evolutionary Approach to Automatic Generation of VHDL Code for Low-Power Digital Filters
An evolutionary algorithm is used to design a finite impulse response digital filter with reduced power consumption. The proposed design approach combines genetic optimization an...
Massimiliano Erba, Roberto Rossi, Valentino Libera...
CEC
2008
IEEE
14 years 3 months ago
New evaluation criteria for the convergence of continuous evolutionary algorithms
—The first hitting time (FHT) plays an important role in convergence evaluation for evolutionary algorithms. However, the current criteria of the FHT are mostly under a hypothesi...
Ying Lin, Jian Huang, Jun Zhang
COR
2008
118views more  COR 2008»
13 years 8 months ago
An effective two-stage simulated annealing algorithm for the minimum linear arrangement problem
In this paper, an improved Two-Stage Simulated Annealing algorithm is presented for the Minimum Linear Arrangement Problem for Graphs. This algorithm integrates several distinguis...
Eduardo Rodriguez-Tello, Jin-Kao Hao, Jose Torres-...