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114
Voted
CEC
2007
IEEE
15 years 10 months ago
Finding trade-off solutions close to KKT points using evolutionary multi-objective optimization
— Despite having a wide-spread applicability of evolutionary optimization procedures over the past few decades, EA researchers still face criticism about the theoretical optimali...
Kalyanmoy Deb, Rahul Tewari, Mayur Dixit, Joydeep ...
110
Voted
CEC
2005
IEEE
15 years 9 months ago
A new representation in evolutionary algorithms for the optimization of bioprocesses
AbstractEvolutionary Algorithms (EAs) have been used to achieve optimal feedforward control in a number of fedbatch fermentation processes. Typically, the optimization purpose is t...
Miguel Rocha, Isabel Rocha, Eugénio C. Ferr...
123
Voted
SAC
2004
ACM
15 years 9 months ago
A comparison of randomized and evolutionary approaches for optimizing base station site selection
It is increasingly important to optimally select base stations in the design of cellular networks, as customers demand cheaper and better wireless services. From a set of potentia...
Larry Raisanen, Roger M. Whitaker, Steve Hurley
152
Voted
GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
15 years 4 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...
116
Voted
CEC
2005
IEEE
15 years 9 months ago
A hybrid model of evolutionary algorithms and branch-and-bound for combinatorial optimization problems
Abstract- Branch-and-Bound and evolutionary algorithms represent two very different approaches for tackling combinatorial optimization problems. These approaches are not incompatib...
José E. Gallardo, Carlos Cotta, Antonio J. ...