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ACSC
2008
IEEE
15 years 8 months ago
An investigation of the state formation and transition limitations for prediction problems in recurrent neural networks
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
Angel Kennedy, Cara MacNish
159
Voted
CEC
2005
IEEE
15 years 8 months ago
Co-evolutionary modular neural networks for automatic problem decomposition
Abstract- Decomposing a complex computational problem into sub-problems, which are computationally simpler to solve individually and which can be combined to produce a solution to ...
Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaoch...
158
Voted
IJCAI
2007
15 years 7 months ago
Handling Alternative Activities in Resource-Constrained Project Scheduling Problems
In the context of operative disruption management, decision support systems have to evaluate the typically manifold options of responding to disturbances: The temporal shift of ac...
Jürgen Kuster, Dietmar Jannach, Gerhard Fried...
ICMAS
2000
15 years 7 months ago
The Computational Complexity of Agent Design Problems
This paper investigates the computational complexity of a fundamental problem in multi-agent systems: given an environment together with a specification of some task, can we const...
Michael Wooldridge
166
Voted
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
15 years 7 months ago
A multi-start quantum-inspired evolutionary algorithm for solving combinatorial optimization problems
Quantum-inspired evolutionary algorithms (QIEAs), as a subset of evolutionary computation, are based on the principles of quantum computing such as quantum bits and quantum superp...
Parvaz Mahdabi, Saeed Jalili, Mahdi Abadi