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EMO
2001
Springer
152views Optimization» more  EMO 2001»
15 years 2 months ago
Multi-objective Design Space Exploration of Road Trains with Evolutionary Algorithms
This paper examines the road train concept as a new alternative in long-distance freight traffic. The design of such a system is a difficult task since many different and conflicti...
Nando Laumanns, Marco Laumanns, Dirk Neunzig
85
Voted
SIES
2007
IEEE
15 years 3 months ago
Design Space Exploration with Evolutionary Multi-Objective Optimisation
— High level synthesis is one of the next major steps to improve the hw/sw co-design process. The advantages of high nthesis are two-fold. At first the level of abstraction is r...
Martin Holzer 0002, Bastian Knerr, Markus Rupp
DAC
2007
ACM
15 years 1 months ago
Simultaneous Multi-Topology Multi-Objective Sizing Across Thousands of Analog Circuit Topologies
This paper presents MOJITO, a system which optimizes across thousands of analog circuit topologies simultaneously, and returns a set of sized topologies that collectively provide ...
Trent McConaghy, Pieter Palmers, Georges G. E. Gie...
GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
14 years 10 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-...
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 2 months ago
TestFul: using a hybrid evolutionary algorithm for testing stateful systems
This paper introduces TestFul, a framework for testing stateful systems and focuses on object-oriented software. TestFul employs a hybrid multi-objective evolutionary algorithm, t...
Matteo Miraz, Pier Luca Lanzi, Luciano Baresi