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Methods for Multiobjective Optimization
Software for Solving Multiobjective Optimization Prob
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achievement function algebraic obstacle problems algorithm aspiration levels assumptions bipolar junction transistors block relaxation methods capacitors constraints convergence rates convex decision maker defined denoted domain decomposition methods e-constraint problem Economics and Mathematical example Figure global delay goal programming highest weight module interactive methods iterative methods Journal of Operational Jyvaskyla Lecture Notes Lemma lexicographic ordering Lie algebras linear complementarity problems linear problem M-matrices M-matrix marginal rates Mathematical Systems matrix mesh minimize MOLP problems monotonically multiobjective optimization problems Neittaanmaki nodes nondifferentiable nonlinear Notes in Economics objective functions Operational Research optimal control parameter Pareto optimal set Pareto optimal solutions presented Proof properly Pareto optimal quantum algebras rates of substitution reference point s)he satisficing Section solution process solved Springer-Verlag step algebras Steuer subgradient GDF method subproblem subset Theorem trade-off rates transient solution transistors upper bounds weakly Pareto optimal weighting coefficients weighting method weighting vector Wierzbicki