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GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
14 years 3 months ago
Informative performance metrics for dynamic optimisation problems
Existing metrics for dynamic optimisation are designed primarily to rate an algorithm’s overall performance. These metrics show whether one algorithm is better than another, but...
Stefan Bird, Xiaodong Li
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
14 years 24 days 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
GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
14 years 2 months ago
An Evolutionary Technique for Multicriterial Optimization Based on Endocrine Paradigm
Many evolutionary algorithms have been lately developed for solving multiobjective problems, appealing or not to the Pareto optimality concept. Although, the evolutionary technique...
Corina Rotar
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
14 years 2 months ago
Using evolutionary algorithms for the unit testing of object-oriented software
As the paradigm of object orientation becomes more and more important for modern IT development projects, the demand for an automated test case generation to dynamically test obje...
Stefan Wappler, Frank Lammermann
ISCAS
2005
IEEE
179views Hardware» more  ISCAS 2005»
14 years 2 months ago
Robust stabilization of control systems using piecewise linear Lyapunov functions and evolutionary algorithm
— Piecewise linear Lyapunov functions are used to design control gain matrices so that closed systems are robust stable and attractive regions are expanded as large as possible i...
K. Tagawa, Y. Ohta