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MultiObjective (MO) optimization extends optimization theory by permitting multiple objectives to be optimized simultaneously.
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Key Phrases - Statistically Improbable Phrases (SIPs):
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consecutive state problem, probabilistic chromosomes, aliasing states, event prediction problem, selective crossover, phenotype grid, aliased states, credit bias, ring species phenomenon, translocation crossover, complete covering map, depth controlling strategy, flanking sequences length, complete subtours, concatenated trap functions, granularity hypothesis, implicit embryogeny, initialisation bias, members vote correctly, residual location error, local search direction, corporate classifier system, current shout price, multiplicative landscape, outlaw method
Key Phrases - Capitalized Phrases (CAPs):
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Morgan Kaufmann, New York, Parallel Problem Solving, San Mateo, University of Michigan, John Wiley, San Francisco, Ann Arbor, System Relative Error, Lecture Notes, Morgan Kauffman, Springer Verlag, University of Illinois, Soft Computing, Monte Carlo, Bayesian Dirichlet, Oxford University Press, George Mason University, Carnegie Mellon University, Lawrence Erlbaum, Flip Heuristic, Random Sample Climbing, San Diego, Academic Press, Stanford University
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