University of Illinois

Sharethis, Inc.

David E Goldberg

Kumara Sastry

Fenando G Lobo

Michael E Welge

Tian-Li Yu

Xavier F Llorá

Todd J Martinez

Xavier F Llorà

Duane D Johnson

Claudio F Lima

Ali Yassine

Martin Pelikan

Alexis L Thompson

Timothy Schigel

Embodiments of the present invention provide, among other things, methods, apparatus, and systems for tuning a semiempirical process for predicting energy for different molecular configurations. In an example method, an energy value and an energy gradient are determined for each of a plurality of molecular configurations using an accurate method. A functional form of the semiempirical process is optimized using the determined energy values and energy gradients via multiobjective optimization. The functional form relates one or more parameters to energy values and energy gradients.

Quantum chemistry simulations using optimization methods

Methods and systems for optimizing a solution set. A solution set is generated, and solutions in the solution set are evaluated. Desirable solutions from the solution set are selected. A structural model is created using the desirable solutions, and a surrogate fitness model is created based on the structural model and the desirable solutions. A new solution set may be generated and/or evaluated, based on analyzing at least one of the structural model and the surrogate fitness model, and determining a method for generating a new solution set and/or evaluating the new solution set based at least in part on the analyzing.

Adaptive optimization methods

A computer system for facilitating user connectivity in a computer network includes an attention manager, an identity manager, and an introduction manager. The attention manager generates data indicative of the current interests of the user. The identity manager manages data indicative of the interests of the user. The introduction manager provides a proactive contact, content, or commerce data recommendation for the dynamic introduction of contact, content, or commerce data to the user, and may also provide bilaterally secure introductions with other users.

System and method for facilitating network connectivity based on user characteristics

Methods and systems for creating a synthetic surrogate fitness function. User decisions are received representing fitness for a plurality of solutions. A partial ordering of the plurality of solutions is provided based on the received user decisions, wherein at least some of the plurality of solutions are represented to have a greater relative fitness than other of the plurality of solutions. A complete order of at least the plurality of solutions is induced based on the normalized partial ordering. A synthetic surrogate fitness function is generated using the induced complete order.

Methods and systems for interactive computing

An exemplary method for computer based collaboration between a plurality of participants communicating over a data network comprises steps of receiving communications data with the computer, using a text analysis tool to identify at least a plurality of k-words from the communications data and a plurality of relations linking at least a portion of the plurality of k-words, and displaying the k-words and relations to the plurality of participants over the computer network.

Methods and systems for computer based collaboration

Exemplary embodiments of the present invention are directed to methods and program products for optimizing clustering of a design structure matrix. An embodiment of the present invention includes the steps of using a genetic operator to achieve an optimal clustering of a design structure matrix model. Other exemplary embodiments of the invention leverage the optimal clustering by applying a genetic operator on a module-specific basis.

Methods and program products for optimizing problem clustering

An embodiment of a method for optimizing a solution set has steps of generating a first solution set, selecting a second solution set from the first, fitting the second solution set with a probabilistic model, using the model to generate a new set of solutions, replacing at least a portion of the first set of solutions with the third, and evaluating the third set to determine if completion criteria have been met. A probabilistic model may allow for merging a plurality of variables into a single variable and for modeling relationships between the merged variables over multiple hierarchical levels. Invention method embodiments may also comprise steps of niching to preserve diversity among the solution set.

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Champaign, IL, United States of America

David E Goldberg