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GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
15 years 8 months ago
Artificial immune system for solving generalized geometric problems: a preliminary results
Generalized geometric programming (GGP) is an optimization method in which the objective function and constraints are nonconvex functions. Thus, a GGP problem includes multiple lo...
Jui-Yu Wu, Yun-Kung Chung
SSDBM
2003
IEEE
96views Database» more  SSDBM 2003»
15 years 8 months ago
Space Constrained Selection Problems for Data Warehouses and Pervasive Computing
Space constrained optimization problems arise in a multitude of important applications such as data warehouses and pervasive computing. A typical instance of such problems is to s...
Themistoklis Palpanas, Nick Koudas, Alberto O. Men...
SIGECOM
2003
ACM
107views ECommerce» more  SIGECOM 2003»
15 years 8 months ago
Using value queries in combinatorial auctions
Combinatorial auctions, where bidders can bid on bundles of items are known to be desirable auction mechanisms for selling items that are complementary and/or substitutable. Howev...
Benoît Hudson, Tuomas Sandholm
GECCO
2010
Springer
129views Optimization» more  GECCO 2010»
15 years 8 months ago
A probabilistic functional crossover operator for genetic programming
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...
Josh C. Bongard
GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
15 years 8 months ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim