Distributed Optimization Methods for Nonconvex Problems with Inequality Constraints over Time-Varying Networks

© 2017 Jueyou Li et al. Network-structured optimization problems are found widely in engineering applications. In this paper, we investigate a nonconvex distributed optimization problem with inequality constraints associated with a time-varying multiagent network, in which each agent is allowed to l...

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Main Authors: Li, J., Gu, C., Wu, Z., Wu, Changzhi
Format: Journal Article
Published: 2017
Online Access:http://hdl.handle.net/20.500.11937/66310
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author Li, J.
Gu, C.
Wu, Z.
Wu, Changzhi
author_facet Li, J.
Gu, C.
Wu, Z.
Wu, Changzhi
author_sort Li, J.
building Curtin Institutional Repository
collection Online Access
description © 2017 Jueyou Li et al. Network-structured optimization problems are found widely in engineering applications. In this paper, we investigate a nonconvex distributed optimization problem with inequality constraints associated with a time-varying multiagent network, in which each agent is allowed to locally access its own cost function and collaboratively minimize a sum of nonconvex cost functions for all the agents in the network. Based on successive convex approximation techniques, we first approximate locally the nonconvex problem by a sequence of strongly convex constrained subproblems. In order to realize distributed computation, we then exploit the exact penalty function method to transform the sequence of convex constrained subproblems into unconstrained ones. Finally, a fully distributed method is designed to solve the unconstrained subproblems. The convergence of the proposed algorithm is rigorously established, which shows that the algorithm can converge asymptotically to a stationary solution of the problem under consideration. Several simulation results are illustrated to show the performance of the proposed method.
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spelling curtin-20.500.11937-663102018-04-30T02:48:31Z Distributed Optimization Methods for Nonconvex Problems with Inequality Constraints over Time-Varying Networks Li, J. Gu, C. Wu, Z. Wu, Changzhi © 2017 Jueyou Li et al. Network-structured optimization problems are found widely in engineering applications. In this paper, we investigate a nonconvex distributed optimization problem with inequality constraints associated with a time-varying multiagent network, in which each agent is allowed to locally access its own cost function and collaboratively minimize a sum of nonconvex cost functions for all the agents in the network. Based on successive convex approximation techniques, we first approximate locally the nonconvex problem by a sequence of strongly convex constrained subproblems. In order to realize distributed computation, we then exploit the exact penalty function method to transform the sequence of convex constrained subproblems into unconstrained ones. Finally, a fully distributed method is designed to solve the unconstrained subproblems. The convergence of the proposed algorithm is rigorously established, which shows that the algorithm can converge asymptotically to a stationary solution of the problem under consideration. Several simulation results are illustrated to show the performance of the proposed method. 2017 Journal Article http://hdl.handle.net/20.500.11937/66310 10.1155/2017/3610283 restricted
spellingShingle Li, J.
Gu, C.
Wu, Z.
Wu, Changzhi
Distributed Optimization Methods for Nonconvex Problems with Inequality Constraints over Time-Varying Networks
title Distributed Optimization Methods for Nonconvex Problems with Inequality Constraints over Time-Varying Networks
title_full Distributed Optimization Methods for Nonconvex Problems with Inequality Constraints over Time-Varying Networks
title_fullStr Distributed Optimization Methods for Nonconvex Problems with Inequality Constraints over Time-Varying Networks
title_full_unstemmed Distributed Optimization Methods for Nonconvex Problems with Inequality Constraints over Time-Varying Networks
title_short Distributed Optimization Methods for Nonconvex Problems with Inequality Constraints over Time-Varying Networks
title_sort distributed optimization methods for nonconvex problems with inequality constraints over time-varying networks
url http://hdl.handle.net/20.500.11937/66310