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Optimality conditions for discrete optimal control problems

Optimization Methods and Software, 2007
Discrete optimal control problems with variable endpoints and with equality type constraints on the control are considered. We derive first-and second-order necessary optimality conditions, which are meaningful under the assumptions weaker than those previously used in the literature.
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A generic problem instance generator for discrete optimization problems

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Measuring the performance of an optimization algorithm involves benchmark instances of related problems. In the area of discrete optimization, most well-known problems are covered by a large variety of problem instances already. However, while exploring the area of lesser-known optimization problems there is usually not a sufficient amount or variety ...
Markus Ullrich   +3 more
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Parallel search in discrete optimization problems

Simulation Practice and Theory, 1996
Abstract We present two generic schemes for heuristic depth-first search on highly parallel MIMD systems. The first one employs a task attraction scheme, where the work packets are generated by splitting the donor's node stack. This stack-splitting scheme works efficiently on architectures with a small communication diameter and/or a moderate ...
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A discrete optimal control problem

IEEE Transactions on Automatic Control, 1966
A certain class of discrete optimization problems is investigated using the framework of nonlinear programming. It is shown that a discrete maximum principle similar to the Pontryagin maximum principle is valid for a subclass of these problems, specifically systems with linear dynamics, convex inequality constraints and convex performance criteria ...
J. Pearson, R. Sridhar
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Stability of discrete optimization problems

Cybernetics and Systems Analysis, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kozeratskaya, L. N.   +2 more
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Discrete Global Optimization Problems with a Modified Discrete Filled Function

Journal of the Operations Research Society of China, 2015
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Yang, Yong-Jian   +2 more
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Finite State Representations of Discrete Optimization Problems

SIAM Journal on Computing, 1973
This paper is concerned with the representation of a discrete optimization problem given in the form of a $ddp$ (discrete decision process) by a G-$sdp$ (G-sequential decision process). A G-$sdp$ is a finite state model of discrete optimization problem, consisting of a finite number of states and a rule specifying the transition from one state to ...
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A new approach to discrete stochastic optimization problems

European Journal of Operational Research, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiaocang Lin, Loo Hay Lee
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Probabilistic Analysis of Discrete Optimization Problems

2004
We investigate the performance of exact algorithms for hard optimization problems under random inputs. In particular, we prove various structural properties that lead to two general average-case analyses applicable to a large class of optimization problems.
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Discrete Methods for Optimal Control Problems

2003
We consider a constrained optimal control problem, which we formulate in classical and in relaxed form. In order to approximate this problem numerically, we apply various discretization schemes on either of these two forms and study the behavior in the limit of discrete optimality and necessary conditions for optimality.
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