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GECCO
2010
Springer
248views Optimization» more  GECCO 2010»
15 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
CEC
2008
IEEE
16 years 10 days ago
High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis
— The high-level synthesis process involves three interdependent and NP-complete optimization problems: (i) the operation scheduling, (ii) the resource allocation, and (iii) the ...
Christian Pilato, Daniele Loiacono, Fabrizio Ferra...
TSMC
2008
147views more  TSMC 2008»
15 years 5 months ago
A New Approach for Solving Nonlinear Equations Systems
This paper proposes a new perspective for solving systems of complex nonlinear equations by simply viewing them as a multiobjective optimization problem. Every equation in the syst...
Crina Grosan, Ajith Abraham
TSMC
2010
15 years 16 days ago
Multiobjective Optimization of Temporal Processes
Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...
Zhe Song, Andrew Kusiak
KBS
2006
87views more  KBS 2006»
15 years 5 months ago
Predictive and comprehensible rule discovery using a multi-objective genetic algorithm
We present a multi-objective genetic algorithm for mining highly predictive and comprehensible classification rules from large databases. We emphasize predictive accuracy and comp...
Satchidananda Dehuri, Rajib Mall