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The selection of the Pareto-optimal solution depends on the definition of the ASF, which - for the aspiration-led model analysis - also includes a selected aspiration point. Most of those methods use the maximization of an ASF in the form: ...
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www.iiasa.ac.at/~marek/mcma_hlp/node3.html
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The control of the program is turned over to MCMA. The optimization problem is generated and solved. The last solution is processed and converted to the ISAAP data structures.
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www.iiasa.ac.at/~marek/mcma_hlp/node16.html
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Pareto optimality[5] is an economics term for describing a solution for multiple objectives. No part of a Pareto optimal solution can be improved without making some other part worse. Figure 1 shows four geometric examples of Pareto optimality.
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cdr.stanford.edu/NextLink/papers/pareto/pareto.html
cdr.stanford.edu/NextLink/papers/pareto/pareto.html
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PPF makes it natural to have a local Pareto-optimal solution curve as the unit of search, which leads to curve-based MOGA. PPF also enables examination of which Pareto-optimal solution curves are found by MOO methods, and performance metrics based on it can be defined.
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portal.acm.org/citation.cfm?id=1277120
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Many optimal control problems are characterized by their multiple performance measures that are often noncommensurable and competing with each other. The presence of multiple objectives in a problem usually give rise to a set of optimal solutions, largely known as Pareto-optimal solutions. ... Login | Create Account...
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eprints.iisc.ernet.in/5874/
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CiteSeerX - Document Details (Isaac Councill, Lee Giles): In this paper, we suggest an approach for nding multiple Pareto-optimal solutions with a distributed computing system. ... In this paper, we suggest an approach for nding multiple Pareto-optimal solutions with a distributed computing system.
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citeseer.ist.psu.edu/621251.html
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An entropy-based metric is presented to assess the diversity of solutions in a multi-objective optimization technique. This metric quantifies the 'goodness' of a solution set in terms of its distribution quality over the Pareto-optimal frontier. ... Evolutionary Computation, 2002. CEC '02. Proceedings of the ... May 12-May 17...
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doi.ieeecomputersociety.org/10.1109/CEC.2002.1007015
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Too many people seem to think there's going to be some "pareto optimal" solution for this, where no one important gets hurt (the real definition of pareto optimal, as opposed to the book definition). It ain't gonna work that way.
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agonist.org/ian_welsh/20080407/there_isnt_a_pareto_opti...
agonist.org/ian_welsh/20080407/there_isnt_a_pareto_optimal_solution_to_this_financial_mess
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Too many people seem to think there's going to be some "pareto optimal" solution for this, where no one important gets hurt (the real definition of pareto optimal, as opposed to the book definition). It ain't gonna work that way.
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agonist.org/node/51145/print
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