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» Evolutionary Computation for Modeling and Optimization
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EVOW
2010
Springer
15 years 8 months ago
On the Benefit of Sub-optimality within the Divide-and-Evolve Scheme
Divide-and-Evolve (DaE) is an original "memeticization" of Evolutionary Computation and Artificial Intelligence Planning. DaE optimizes either the number of actions, or t...
Jacques Bibai, Pierre Savéant, Marc Schoena...
161
Voted
AAAI
2006
15 years 6 months ago
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
Shimon Whiteson, Peter Stone
135
Voted
WSC
2004
15 years 6 months ago
Optimal Computing Budget Allocation for Multi-Objective Simulation Models
Simulation plays a vital role in identifying the best system design from among a set of competing designs. To improve simulation efficiency, ranking and selection techniques are o...
Loo Hay Lee, Ek Peng Chew, Suyan Teng, David Golds...
163
Voted
GLOBECOM
2010
IEEE
15 years 2 months ago
Optimal Bandwidth Allocation with Dynamic Service Selection in Heterogeneous Wireless Networks
Bandwidth allocation for different service classes in heterogeneous wireless networks is an important issue for service provider in terms of balancing service quality and profit. I...
Kun Zhu, Dusit Niyato, Ping Wang
FLAIRS
2001
15 years 6 months ago
A Computational Model for Portfolios of Cooperative Heterogeneous Algorithms for Discrete Optimization
Discrete optimization problemsarise throughout many real world domainsincluding planning, decision making, and search. NP-hardin general, these problems require novel approachesto...
Eugene Santos Jr.