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GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
13 years 11 months ago
An efficient multi-objective evolutionary algorithm with steady-state replacement model
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
Dipti Srinivasan, Lily Rachmawati
CEC
2007
IEEE
14 years 1 months ago
On the analysis of average time complexity of estimation of distribution algorithms
— Estimation of Distribution Algorithm (EDA) is a well-known stochastic optimization technique. The average time complexity is a crucial criterion that measures the performance o...
Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
14 years 1 months ago
Fractional dynamic fitness functions for GA-based circuit design
This paper proposes and analyses the performance of a Genetic Algorithm (GA) using two new concepts, namely a static fitness function including a discontinuity measure and a fract...
Cecília Reis, José António Te...
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
14 years 1 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
CORR
2004
Springer
153views Education» more  CORR 2004»
13 years 7 months ago
Cauchy Annealing Schedule: An Annealing Schedule for Boltzmann Selection Scheme in Evolutionary Algorithms
Abstract-Boltzmann selectionis an important selection mechanism in evolutionary algorithms as it has theoretical properties which help in theoretical analysis. However, Boltzmann s...
Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bh...