Topology-Finding of Tensegrity Structures Considering Global Stability Condition
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The integration of choice models in mixed integer linear programming (MILP) is appealing to operators because it provides a better understanding of the preferences of customers while planning for their systems. However, the complexity of choice models lea ...
The integration of discrete choice models with Mixed Integer Linear Programming (MILP) models provides a better understanding of customers' preferences to operators while planning
for their systems. However, the formulations associated with the former are ...
2018
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The integration of customer behavioral models in optimization provides a better understanding of the preferences of clients (the demand) to operators while planning for their systems (the supply). These preferences are formalized with discrete choice model ...
2017
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The integration of customer behavioral models in optimization provides a better understanding of the preferences of clients (the demand) to operators while planning for their systems (the supply). These preferences are formalized with discrete choice model ...
2017
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Linear programming (LP) has played a key role in the study of algorithms for combinatorial optimization problems. In the field of approximation algorithms, this is well illustrated by the uncapacitated facility location problem. A variety of algorithmic me ...
Society for Industrial and Applied Mathematics2017
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An optimization methodology based on Mixed Integer Linear Programming (MILP) has been developed for simultaneous optimization of water and energy (SOWE) in industrial processes. The superstructure integrates non-water process thermal streams and optimizes ...
2017
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We propose a conditional gradient framework for a composite convex minimization template with broad applications. Our approach combines the notions of smoothing and homotopy under the CGM framework, and provably achieves the optimal O(1/sqrt(k)) convergenc ...
ICML2018
We consider integer programming problems in standard form max{c(T)x : Ax = b; x >= 0, x is an element of Z(n)} where A is an element of Z(mxn), b is an element of Z(m) and c is an element of Z(n). We show that such an integer program can be solved in time ...
ASSOC COMPUTING MACHINERY2018
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We consider the problem of synthesizing robust disturbance feedback policies for systems performing complex tasks. We formulate the tasks as linear temporal logic specifications and encode them into an optimization framework via mixed-integer constraints. ...
ACM2018
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The integration of discrete choice models in mixed integer linear problems provides a better understanding of the preferences of clients to policy makers while planning for their systems. In this research, we present a general framework that is able to com ...
