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» Optimizations for LTL Synthesis
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EMO
2005
Springer
123views Optimization» more  EMO 2005»
15 years 4 months ago
Initial Population Construction for Convergence Improvement of MOEAs
Nearly all Multi-Objective Evolutionary Algorithms (MOEA) rely on random generation of initial population. In large and complex search spaces, this random method often leads to an ...
Christian Haubelt, Jürgen Gamenik, Jürge...
FPGA
2005
ACM
174views FPGA» more  FPGA 2005»
15 years 4 months ago
64-bit floating-point FPGA matrix multiplication
We introduce a 64-bit ANSI/IEEE Std 754-1985 floating point design of a hardware matrix multiplier optimized for FPGA implementations. A general block matrix multiplication algor...
Yong Dou, Stamatis Vassiliadis, Georgi Kuzmanov, G...
GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
15 years 4 months ago
Towards identifying populations that increase the likelihood of success in genetic programming
This paper presents a comprehensive, multivariate account of how initial population material is used over the course of a genetic programming run as while various factors influenc...
Jason M. Daida
72
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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 4 months ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett
GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
15 years 4 months ago
Investigating the performance of module acquisition in cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is a form of the graph based Cartesian Genetic Programming (CGP) in which modules are automatically acquired and evolved. In this pap...
James Alfred Walker, Julian Francis Miller