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» The logarithmic hypervolume indicator
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EMO
2005
Springer
194views Optimization» more  EMO 2005»
13 years 11 months ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks
GECCO
2010
Springer
127views Optimization» more  GECCO 2010»
13 years 4 months ago
Set-based multi-objective optimization, indicators, and deteriorative cycles
Evolutionary multi-objective optimization deals with the task of computing a minimal set of search points according to a given set of objective functions. The task has been made e...
Rudolf Berghammer, Tobias Friedrich, Frank Neumann
PPSN
2004
Springer
13 years 11 months ago
Indicator-Based Selection in Multiobjective Search
Abstract. This paper discusses how preference information of the decision maker can in general be integrated into multiobjective search. The main idea is to first define the opti...
Eckart Zitzler, Simon Künzli
GECCO
2010
Springer
248views Optimization» more  GECCO 2010»
13 years 9 months ago
Integrating decision space diversity into hypervolume-based multiobjective search
Multiobjective optimization in general aims at learning about the problem at hand. Usually the focus lies on objective space properties such as the front shape and the distributio...
Tamara Ulrich, Johannes Bader, Eckart Zitzler
VLSID
2006
IEEE
240views VLSI» more  VLSID 2006»
14 years 6 months ago
An Efficient and Accurate Logarithmic Multiplier Based on Operand Decomposition
Logarithmic Number Systems (LNS) offer a viable alternative in terms of area, delay and power to binary number systems for multiplication and division operations in signal process...
Venkataraman Mahalingam, N. Ranganathan