Several sampling approaches have been proposed in literature for the analysis of flow lines with stochastic processing times and finite buffer capacities. the system's performance can be evaluated by a linear prog...
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the proceedings contain 371 papers. the topics discussed include: simulation technologies for long-term target planning and in-flight management of the spacecraft control systems;a graphical approach for solving singl...
ISBN:
(纸本)9783902823359
the proceedings contain 371 papers. the topics discussed include: simulation technologies for long-term target planning and in-flight management of the spacecraft control systems;a graphical approach for solving single machine scheduling problems approximately;a switching Q-learning approach focusing on partial states;a multi-objective stochastic programming model for designing supply chain networks;prices of robustness and reblending in oil industry;a transfer line design problem with setup times and costs;simulated annealing algorithm for solving sequence-dependent disassembly line balancing problem;demand-wise closed-loop inventory control models;cyclic scheduling of sequentially connected cluster tools with a single I/O module;and optimal production planning for a manufacturing system: an approach based on PA.
the Multi-Multiway Cut problem proposed by Avidor and Langberg [2] is a natural generalization of Multicut and Multiway Cut problems. that is, given a simple graph G and c sets of vertices S1, a,S c, the problem asks ...
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In surveillance, sports, finances, etc., distributed event-based systems are used to detect meaningful events with low latency in high data rate event streams. Both known approaches to deal withthe predominant out-of...
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In this paper we present a novel algorithm called GPAT (Genetic programming of Augmenting Topologies) which evolves Genetic programming (GP) trees in a similar way as a well-established neuro-evolutionary algorithm NE...
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the object-oriented programming paradigm is a process of implementing a program by means of 'Objects' into which separate concerns are grouped. However, it does not map some types of concerns such as security,...
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Although several proposals to combine description logics with logic programming rules have been brought forward, hardly any of these approaches capture the dynamic nature of the Semantic Web. In this paper, we look at...
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the proceedings contain 51 papers. the special focus in this conference is on Aggregation Operators. the topics include: R Package to Handle Archimax or Any User-Defined Continuous Copula Construction: acopula;how to ...
ISBN:
(纸本)9783642391644
the proceedings contain 51 papers. the special focus in this conference is on Aggregation Operators. the topics include: R Package to Handle Archimax or Any User-Defined Continuous Copula Construction: acopula;how to Prove Sklar’s theorem;OM3: Ordered Maxitive, Minitive, and Modular Aggregation Operators: Axiomatic Analysis under Arity-Dependence (I);OM3: Ordered Maxitive, Minitive, and Modular Aggregation Operators. A Simulation Study (II);Duplication in OWA-Generated Positional Aggregation Rules;Application of OWA Operators in the L-Fuzzy Concept Analysis;Norm Aggregations and OWA Operators;migrativity of Uninorms over T-norms and T-conorms;additive Generators of Overlap Functions;aggregation Operators and Observable Properties of Human Reasoning;continuous T-norms and T-conorms Satisfying the Principle of Inclusion and Exclusion;on Mulholland Inequality and Dominance of Strict Triangular Norms;distributivity Equation in the Class of Noncommutative T-Operators;on Some Classes of Discrete Additive Generators;the Consensus functional Equation in Agreement theory;a Discriminative Dynamic Index Based on Bipolar Aggregation Operators for Supporting Dynamic Multi-criteria Decision Making;social Choice Voting with Linguistic Preferences and Difference in Support;calibration of Utility Function;uncertain Choices: A Comparison of Fuzzy and Probabilistic Approaches;bayes theorem, Uninorms and Aggregating Expert Opinions;copulas, Tail Dependence and Applications to the Analysis of Financial Time Series;on the Induction of New Fuzzy Relations, New Fuzzy Operators and their Aggregation;comparison of Different Algorithms of Approximation by Extensional Fuzzy Subsets;on the Symmetrization of Quasi-metrics: An Aggregation Perspective;aggregation Operators and Quadric Hypersurfaces;an Analysis of Bilevel Linear programming Solving Parameters Based on Factoraggregation Approach;compatible Group Decisions.
We propose a new type of multi-objective genetic programming (MOGP) for multi-objective design exploration (MODE). the characteristic of the new MOGP is the simultaneous symbolic regression to multiple objective funct...
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ISBN:
(纸本)9783642371400
We propose a new type of multi-objective genetic programming (MOGP) for multi-objective design exploration (MODE). the characteristic of the new MOGP is the simultaneous symbolic regression to multiple objective functions using correlation coefficients. this methodology is applied to non-dominated solutions of the multi-objective design optimization problem to extract information between objective functions and design parameters. the result of MOGP is symbolic equations that are highly correlated to each objective function through a single GP run. these equations are also highly correlated to several objective functions. the results indicate that the proposed MOGP is capable of finding new design parameters more closely related to the objective functions than the original design parameters. the proposed MOGP is applied to the test problem and the practical design problem to evaluate the capability.
Automated innovization is an unsupervised machine learning technique for extracting useful design knowledge from Pareto-optimal solutions in the form of mathematical relationships of a certain structure. these relatio...
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ISBN:
(纸本)9783642371400
Automated innovization is an unsupervised machine learning technique for extracting useful design knowledge from Pareto-optimal solutions in the form of mathematical relationships of a certain structure. these relationships are known as design principles. Past studies have shown the applicability of automated innovization on a number of engineering design optimization problems using a multiplicative form for the design principles. In this paper, we generalize the structure of the obtained principles using a tree-based genetic programming framework. While the underlying innovization algorithm remains the same, evolving multiple trees, each representing a different design principle, is a challenging task. We also propose a method for introducing dimensionality information in the search process to produce design principles that are not just empirical in nature, but also meaningful to the user. the procedure is illustrated for three engineering design problems.
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