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128
Voted
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
15 years 7 months ago
Reference point based multi-objective optimization using evolutionary algorithms
: Evolutionary multi-objective optimization (EMO) methodologies have been amply applied to find a representative set of Pareto-optimal solutions in the past decade and beyond. Alth...
Kalyanmoy Deb, J. Sundar
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 7 months ago
Towards estimating nadir objective vector using evolutionary approaches
Nadir point plays an important role in multi-objective optimization because of its importance in estimating the range of objective values corresponding to desired Pareto-optimal s...
Kalyanmoy Deb, Shamik Chaudhuri, Kaisa Miettinen
131
Voted
GECCO
2006
Springer
155views Optimization» more  GECCO 2006»
15 years 7 months ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde
144
Voted
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
15 years 7 months ago
Characterizing the dynamics of symmetry breaking in genetic programming
This paper introduces a metric that measures symmetry in tree graphs, which allows for a statistical characterization of GP solutions by their architectural "shapes." A ...
Jason M. Daida
GECCO
2006
Springer
136views Optimization» more  GECCO 2006»
15 years 7 months ago
Relaxed genetic programming
Luis E. Da Costa, Jacques-André Landry