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CEC
2009
IEEE
13 years 11 months ago
Constructing test problems for bilevel evolutionary multi-objective optimization
— Many real-world problems demand a feasible solution to satisfy physical equilibrium, stability, or certain properties which require an additional lower level optimization probl...
Kalyanmoy Deb, Ankur Sinha
EMO
2009
Springer
190views Optimization» more  EMO 2009»
13 years 11 months ago
Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms
Abstract. Bilevel optimization problems require every feasible upperlevel solution to satisfy optimality of a lower-level optimization problem. These problems commonly appear in ma...
Kalyanmoy Deb, Ankur Sinha
EMO
2009
Springer
155views Optimization» more  EMO 2009»
13 years 11 months ago
A Hybrid Integrated Multi-Objective Optimization Procedure for Estimating Nadir Point
A nadir point is constructed by the worst objective values of the solutions of the entire Pareto-optimal set. Along with the ideal point, the nadir point provides the range of obje...
Kalyanmoy Deb, Kaisa Miettinen, Deepak Sharma
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
13 years 10 months ago
SNDL-MOEA: stored non-domination level MOEA
There exist a number of high-performance Multi-Objective Evolutionary Algorithms (MOEAs) for solving MultiObjective Optimization (MOO) problems; two of the best are NSGA-II and -M...
Matt D. Johnson, Daniel R. Tauritz, Ralph W. Wilke...
TR
2010
158views Hardware» more  TR 2010»
12 years 11 months ago
Multi-Objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems
Software testing is an important issue in software engineering. As software systems become increasingly large and complex, the problem of how to optimally allocate the limited test...
Zai Wang, Ke Tang, Xin Yao