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GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
14 years 2 months ago
An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules
As the Flexible Job Shop Scheduling Problem (or FJSP) is strongly NP-hard, using an evolutionary approach to find near-optimal solutions requires effective chromosome representatio...
Joc Cing Tay, Djoko Wibowo
EH
2002
IEEE
104views Hardware» more  EH 2002»
14 years 2 months ago
Evolvable Hardware for the Generation of Sequential Filter Circuits
Evolutionary algorithms (EAs) are regularly used both for the solution of scheduling problems, and for the creation of digital circuit designs. This paper describes a unified app...
Robert Thomson, Tughrul Arslan
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
13 years 10 months ago
Evolutionary design of dynamic SwarmScapes
This paper discusses interactive evolutionary algorithms and their application in swarm-based image generation. From an artist’s perspective, the computer-generated patterns o...
Namrata Khemka, Scott Novakowski, Gerald Hushlak, ...
EC
2008
164views ECommerce» more  EC 2008»
13 years 9 months ago
Tracking Moving Optima Using Kalman-Based Predictions
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness l...
Claudio Rossi, Mohamed Abderrahim, Julio Cé...
CEC
2007
IEEE
14 years 3 months ago
Evolutionary random neural ensembles based on negative correlation learning
— This paper proposes to incorporate bootstrap of data, random feature subspace and evolutionary algorithm with negative correlation learning to automatically design accurate and...
Huanhuan Chen, Xin Yao