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GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
14 years 22 days ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi
SAC
1996
ACM
13 years 11 months ago
A genetic algorithm for the minimum broadcast time problem using a global precedence vector
The problem of broadcasting a message through a network is considered. The objective is to minimize the number of time steps necessary to complete the broadcast. This problem is k...
Cory J. Hoelting, Dale A. Schoenefeld, Roger L. Wa...
JTRES
2010
ACM
13 years 7 months ago
Cyclic executive for safety-critical Java on chip-multiprocessors
Chip-multiprocessors offer increased processing power at a low cost. However, in order to use them for real-time systems, tasks have to be scheduled efficiently and predictably. I...
Anders P. Ravn, Martin Schoeberl
GECCO
2009
Springer
164views Optimization» more  GECCO 2009»
13 years 5 months ago
Solving iterated functions using genetic programming
An iterated function f(x) is a function that when composed with itself, produces a given expression f(f(x))=g(x). Iterated functions are essential constructs in fractal theory and...
Michael D. Schmidt, Hod Lipson
EMO
2006
Springer
124views Optimization» more  EMO 2006»
13 years 11 months ago
I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods
With the popularity of efficient multi-objective evolutionary optimization (EMO) techniques and the need for such problem-solving activities in practice, EMO methodologies and EMO ...
Kalyanmoy Deb, Shamik Chaudhuri