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» Optimization with Extremal Dynamics
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CEC
2005
IEEE
14 years 3 months ago
Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems
Several approaches have been developed into evolutionary algorithms to deal with dynamic optimization problems, of which memory and random immigrants are two major schemes. This pa...
Shengxiang Yang
CEC
2007
IEEE
14 years 4 months ago
On performance metrics and particle swarm methods for dynamic multiobjective optimization problems
— This paper describes two performance measures for measuring an EMO (Evolutionary Multiobjective Optimization) algorithm’s ability to track a time-varying Paretofront in a dyn...
Xiaodong Li, Jürgen Branke, Michael Kirley
APBC
2004
173views Bioinformatics» more  APBC 2004»
13 years 11 months ago
RNA Secondary Structure Prediction with Simple Pseudoknots
Pseudoknots are widely occurring structural motifs in RNA. Pseudoknots have been shown to be functionally important in different RNAs which play regulatory, catalytic, or structur...
Jitender S. Deogun, Ruben Donts, Olga Komina, Fang...
SIAMCO
2002
78views more  SIAMCO 2002»
13 years 9 months ago
Strong Optimality for a Bang-Bang Trajectory
In this paper we give sufficient conditions for a bang-bang regular extremal to be a strong local optimum for a control problem in the Mayer form; strong means that we consider the...
Andrei A. Agrachev, Gianna Stefani, PierLuigi Zezz...
AUSAI
2009
Springer
14 years 1 months ago
Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems
Regressions has successfully been incorporated into memetic algorithm (MA) to build surrogate models for the objective or constraint landscape of optimization problems. This helps ...
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soo...