Optimization of Energy Efficient Network Migration Using Harmony Search

Türk, Stefan; Radeke, Rico

doi:10.1007/978-3-642-23541-2_11

Cited by 7 publications

(8 citation statements)

References 8 publications

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“…Since every S can be evaluated in terms of cost (min) and energy (min) the evolution of the algorithm can be measured using the enhancement of solutions in the designated metric with a fitness function f . For this paper we chose a cost metric to evaluate the fitness of a solution S, which is more detailed explained in [4].…”

Section: Classic Genetic Algorithmsmentioning

confidence: 99%

“…The shift from classical Synchronous Digital Hierarchy (SDH) technology towards cost efficient Ethernet services is currently under way, i.e. for high data rate Internet access or global interconnection of company locations [2][3][4]. The introduction of Carrier Ethernet services is heavily investigated by most providers, since it promises significant cost savings and a simplification in terms of administration and maintenance [5].…”

Section: Introductionmentioning

confidence: 99%

“…In our current approach (multi layer migration) Optical Cross Connects (OXCs), Carrier Grade Ethernet swichtes and IP routers can be added to a network to satisfy the increasing demands of the next years [4]. Within our migration method potential future traffic can be considered in the planning process, giving the advantage of an all period migration optimization.…”

Section: Introductionmentioning

confidence: 99%

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Network Migration Optimization Using Genetic Algorithms

Türk

Liu

Radeke

et al. 2012

Information and Communication Technologies

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Abstract. This paper introduces the problem of communication network migration for backbone networks. Heuristic solutions for this problem can be determined by the application of genetic algorithms to the problem. A description of the system model is presented, as well as the used algorithmic approaches and optimization results. Our main goal is the optimization of migration costs, by respecting increasing demands over the migration period, while device costs per bit are decreasing. We will present Crowded DPGA as best found GA to solve the network migration problem.

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Section: Classic Genetic Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Network Migration Optimization Using Genetic Algorithms

Türk

Liu

Radeke

et al. 2012

Information and Communication Technologies

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“…Harmony search (HS) is a novel heuristic optimization algorithm proposed by Geem et al [19] in 2001, which has attracted much public attention and was successfully applied in solving economic load dispatch problem [20], the switch location problem (SLP) [21], the design of steel frames [22], clustering [23], multicast routing [24], predicting the optimal cutting conditions [25], and the optimization of energy efficient network migration [26], while using HS algorithm to solve ASP problems has been rarely studied yet. To find a better way for solving ASP problems, an improved harmony search (IHS) is introduced here.…”

Section: Introductionmentioning

confidence: 99%

Assembly sequence planning based on an improved harmony search algorithm

Qin

Zeng

et al. 2015

Int J Adv Manuf Technol

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As a typical, discrete, and NP-hard problem, assembly sequence planning (ASP) has direct impact on assembly quality and costs. So far, lots of graph-based and meta-heuristic approaches cannot solve this problem effectively. This paper proposes an effective ASP algorithm based on the harmony search (HS) algorithm, which has an outstanding global search ability to obtain the global optimum more efficiently. To solve the ASP problem, an improved harmony search (IHS) algorithm is proposed mainly in four aspects: (1) an encoding of harmony is designed based on ASP problems; (2) an initial harmony memory (HM) is established using the opposition-based learning (OBL) strategy; (3) a particular way to improvise a new harmony is developed; and (4) a local search strategy is introduced to accelerate the convergence speed. Finally, the advantage of the proposed ASP algorithm over the competing algorithms in solving ASP problems is verified by two experiments. Moreover, the proposed ASP algorithm is applied to a practical problem, a propeller of azimuth thruster to verify its practicability.

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“…The shift from the classical Synchronous Digital Hierarchy (SDH) technology towards cost efficient Ethernet services is currently under way, i.e. for high data rate Internet access or global interconnection of company locations [3], [4], [5]. The introduction of Carrier Ethernet services is heavily investigated by most providers, since it promises significant cost savings and a simplification in terms of administration and maintenance [6].…”

Section: Introductionmentioning

confidence: 99%

Particle Swarm Optimization of network migration planning

Türk

Liu²,

Radeke

et al. 2013

2013 IEEE Global Communications Conference (GLOBECOM)

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Traffic demand of backbone networks will increase rapidly in the next years, while equipment costs per bit are shrinking. To cope with this development the migration of those backbones towards Carrier Ethernet is investigated. In this paper we discuss a Particle Swarm Optimization (PSO) heuristic that can be used to enhance the overall migration process. We will introduce the basic migration problem, as well as system models for a possible migration case. Improved heuristics for basic PSO and their application to network migration will be presented. Results regarding algorithm performance and optimized migration cost will be delivered in the paper.

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Optimization of Energy Efficient Network Migration Using Harmony Search

Cited by 7 publications

References 8 publications

Network Migration Optimization Using Genetic Algorithms

Network Migration Optimization Using Genetic Algorithms

Assembly sequence planning based on an improved harmony search algorithm

Particle Swarm Optimization of network migration planning

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