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Age-Fitness Pareto Optimization
Proceedings of the 12th annual conference on Genetic and evolutionary computation, 2010We propose a multi-objective method for avoiding premature convergence in evolutionary algorithms, and demonstrate a three-fold performance improvement over comparable methods. Previous research has shown that partitioning an evolving population into age groups can greatly improve the ability to identify global optima and avoid converging to local ...
Michael D. Schmidt, Hod Lipson
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Proceedings of the Platform for Advanced Scientific Computing Conference, 2017
A fundamental understanding of how various biological traits and features provide organisms with a competitive advantage can help us improve the design of a number of mechanical systems. Numerical optimization can play an invaluable role for this purpose, by allowing us to scrutinize the evolution of specific biological adaptations in nature ...
Siddhartha Verma +4 more
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A fundamental understanding of how various biological traits and features provide organisms with a competitive advantage can help us improve the design of a number of mechanical systems. Numerical optimization can play an invaluable role for this purpose, by allowing us to scrutinize the evolution of specific biological adaptations in nature ...
Siddhartha Verma +4 more
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Pareto Optimal Pairwise Sequence Alignment
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2013Sequence alignment using evolutionary profiles is a commonly employed tool when investigating a protein. Many profile-profile scoring functions have been developed for use in such alignments, but there has not yet been a comprehensive study of Pareto optimal pairwise alignments for combining multiple such functions.
Kevin W, DeRonne, George, Karypis
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2019
The decision making problems mostly involve optimization of multiple conflicting objectives. The investigation of trade-off between the objectives under a prescribed set of constraints generates a bunch of Pareto-optimal solutions. In this chapter the multiobjective optimization problem is studied in fuzzy environment. The concept of efficient solution
Debdas Ghosh, Debjani Chakraborty
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The decision making problems mostly involve optimization of multiple conflicting objectives. The investigation of trade-off between the objectives under a prescribed set of constraints generates a bunch of Pareto-optimal solutions. In this chapter the multiobjective optimization problem is studied in fuzzy environment. The concept of efficient solution
Debdas Ghosh, Debjani Chakraborty
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2003
Abstract In Parts 1 and 2 we showed that with differentiable preferences, Pareto optimality implies a unique Arrow-Debreu, or Martingale, measure. In this chapter we show that the extension to multiple commodities leaves the proofs largely unchanged.
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Abstract In Parts 1 and 2 we showed that with differentiable preferences, Pareto optimality implies a unique Arrow-Debreu, or Martingale, measure. In this chapter we show that the extension to multiple commodities leaves the proofs largely unchanged.
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Pareto Optimality in Non-Convex Economies
Econometrica, 1975This article uses the concept of "cone of interior displacements," which extends the notion of differentiability, to set up a characterization of Pareto optima in non-convex economies. A general theorem asserting that a Pareto optimum is a PA equilibrium is given and specifications are discussed.
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