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CEC
2005
IEEE
15 years 9 months ago
A model-based evolutionary algorithm for bi-objective optimization
Abstract- The Pareto optimal solutions to a multiobjective optimization problem often distribute very regularly in both the decision space and the objective space. Most existing ev...
Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward P. K....
123
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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
MICRO
2002
IEEE
124views Hardware» more  MICRO 2002»
15 years 8 months ago
Optimizing pipelines for power and performance
During the concept phase and definition of next generation high-end processors, power and performance will need to be weighted appropriately to deliver competitive cost/performan...
Viji Srinivasan, David Brooks, Michael Gschwind, P...
154
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EMO
2006
Springer
113views Optimization» more  EMO 2006»
15 years 7 months ago
Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization
Abstract. Optimization in changing environment is a challenging task, especially when multiple objectives are to be optimized simultaneously. The basic idea to address dynamic opti...
Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sen...
106
Voted
GECCO
2000
Springer
120views Optimization» more  GECCO 2000»
15 years 7 months ago
An Improved Adaptive Multi-Start Approach to Finding Near-Optimal Solutions to the Euclidean TSP
We present an "adaptive multi-start" genetic algorithm for the Euclidean traveling salesman problem that uses a population of tours locally optimized by the Lin-Kernigha...
Dan Bonachea, Eugene Ingerman, Joshua Levy, Scott ...