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» Removing the Genetics from the Standard Genetic Algorithm
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EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 2 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
IWPC
1998
IEEE
15 years 2 months ago
Using Automatic Clustering to Produce High-Level System Organizations of Source Code
This paper describes a collection of algorithms that we developed and implemented to facilitate the automatic recovery of the modular structure of a software system from its sourc...
Spiros Mancoridis, Brian S. Mitchell, C. Rorres, Y...
EVOW
2005
Springer
15 years 3 months ago
Evolving Reversible Circuits for the Even-Parity Problem
Reversible computing basically means computation with less or not at all electrical power. Since the standard binary gates are not usually reversible we use the Fredkin gate in ord...
Mihai Oltean
DCC
2010
IEEE
15 years 4 months ago
gFPC: A Self-Tuning Compression Algorithm
This paper presents and evaluates gFPC, a self-tuning implementation of the FPC compression algorithm for double-precision floating-point data. gFPC uses a genetic algorithm to re...
Martin Burtscher, Paruj Ratanaworabhan
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
15 years 3 months ago
A multiple objective evolutionary algorithm for multiple sequence alignment
The problem of multiple sequence alignment is important for bioinformatics. This problem is widely studied and a popular tool to solve this problem is Clustal X. This work introdu...
Pasut Seeluangsawat, Prabhas Chongstitvatana