A survey on applications of the harmony search algorithm

Manjarres, Diana; Landa-Torres, Itziar; Gil-López, Sergio; Ser, Javier Del; Bilbao, Miren Nekane; Salcedo‐Sanz, Sancho; Geem, Zong Woo

doi:10.1016/j.engappai.2013.05.008

Cited by 320 publications

(119 citation statements)

References 161 publications

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“…This will be accomplished by the constituent operators of the so-called Harmony Search (HS) meta-heuristic algorithm, first presented in [24] and since then proven to perform statistically better than other meta-heuristic schemes in a wide variety of applications [25]. This algorithm inspires from the collaborative behavior of musicians when improvising aesthetically good harmonies; in fact the compounding operators of HS can be regarded as computationally modeled behavioral patterns commonly observed in music composition.…”

Section: Meta-heuristic Solvermentioning

confidence: 99%

Joint Topology Optimization, Power Control and Spectrum Allocation for Intra-Vehicular Multi-hop Sensor Networks Using Dandelion-Encoded Heuristics

Ser

Bilbao

Perfecto

et al. 2016

Applications of Evolutionary Computation

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Abstract. In the last years the interest in multi-hop communications has gained momentum within the research community due to the challenging characteristics of the intra-vehicular radio environment and the stringent robustness imposed on critical sensors within the vehicle. As opposed to point-to-point network topologies, multi-hop networking allows for an enhanced communication reliability at the cost of an additional processing overhead. In this context this manuscript poses a novel bi-objective optimization problem aimed at jointly minimizing 1) the average Bit Error Rate (BER) of sensing nodes under a majority fusion rule at the central data collection unit; and 2) the mean delay experienced by packets forwarded by such nodes due to multi-hop networking, frequency channel switching time multiplexing at intermediate nodes.The formulated paradigm is shown to be computationally tractable via a combination of evolutionary meta-heuristic algorithms and Dandelion codes, the latter capable of representing tree-like structures like those modeling the multi-hop routing approach. Simulations are carried out for realistic values of intra-vehicular radio channels and co-channel interference due to nearby IEEE 802.11 signals. The obtained results are promising and pave the way towards assessing the practical performance of the proposed scheme in real setups.

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Section: Meta-heuristic Solvermentioning

confidence: 99%

Joint Topology Optimization, Power Control and Spectrum Allocation for Intra-Vehicular Multi-hop Sensor Networks Using Dandelion-Encoded Heuristics

Ser

Bilbao

Perfecto

et al. 2016

Applications of Evolutionary Computation

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“…First proposed in [71] and subsequently applied to problems arising in diverse knowledge fields [72], HS mimics the progressive harmony enhancement through improvisation and memory attained by jazz musicians in their attempt to arrange an aesthetically good harmony. In a similar fashion to other Evolutionary Computation and Soft Computing optimization techniques [73], HS maintains a population or memory of iteratively refined harmonies (i.e.…”

Section: Proposed Algorithmmentioning

confidence: 99%

Cost-efficient deployment of multi-hop wireless networks over disaster areas using multi-objective meta-heuristics

et al. 2018

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“…external shading devices, installed around the windows of the building. To address this multiobjective optimization problem we propose a stochastic approach consisting of a multi-objective combined methodology based on Harmony Search Algorithms [20,21] and the Pareto front [22,23] to identify a set of different optimal solutions for decision makers selection. This approach is named multi-objective Evolutionary Design for Optimization (m-EDO) and it was developed within the Design of Evolutionary Experiments based on models approach (DEEMs), a class of smart evolutionary procedure where evolution and information achieved by statistical models are combined to generate informative sequential populations of solutions [24][25][26][27].…”

Section: Objectivesmentioning

confidence: 99%

“…To address an optimization problem several evolutionary procedures involving different search algorithms, such as model-based Genetic Algorithms [31,15,23], Particle Swarm Optimization [32,33], and Harmony Search [34,21], can be considered. The evolutionary approach, based on a set of metaheuristics, is able to process just a small set of candidate solutions, instead of all solutions in the search space, achieving very good results in converging to the real optimal values.…”

Section: The Multi-objective Evolutionary Design For Optimization (M-mentioning

confidence: 99%

A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices

2016

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h i g h l i g h t sWe present a multi-objective optimization algorithm for shading design. We combine Harmony search and Pareto-based procedures. Thermal and daylighting performances of external shading were considered. We applied the optimization process to a residential social housing in Madrid. t r a c tIn this paper we address the problem of designing new energy-efficient static daylight devices that will surround the external windows of a residential building in Madrid. Shading devices can in fact largely influence solar gains in a building and improve thermal and lighting comforts by selectively intercepting the solar radiation and by reducing the undesirable glare. A proper shading device can therefore significantly increase the thermal performance of a building by reducing its energy demand in different climate conditions. In order to identify the set of optimal shading devices that allow a low energy consumption of the dwelling while maintaining high levels of thermal and lighting comfort for the inhabitants we derive a multi-objective optimization methodology based on Harmony Search and Pareto front approaches. The results show that the multi-objective approach here proposed is an effective procedure in designing energy efficient shading devices when a large set of conflicting objectives characterizes the performance of the proposed solutions.

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A survey on applications of the harmony search algorithm

Cited by 320 publications

References 161 publications

Joint Topology Optimization, Power Control and Spectrum Allocation for Intra-Vehicular Multi-hop Sensor Networks Using Dandelion-Encoded Heuristics

Joint Topology Optimization, Power Control and Spectrum Allocation for Intra-Vehicular Multi-hop Sensor Networks Using Dandelion-Encoded Heuristics

Cost-efficient deployment of multi-hop wireless networks over disaster areas using multi-objective meta-heuristics

A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices

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