An intelligent global harmony search approach to continuous optimization problems

“…Moreover, besides its wide application in water resource management, HS is becoming popular in other research fields such as steel, electronics, mechanics, telecommunication, medicine, control, power and energy [170], [171]. In addition, HS itself as a global metaheuristic optimizer has also attracted a lot of interest in recent years [172], [173]. Although some levels of equivalencies might (potentially) exist between different metaheuristic methods, it would be useful to discover and understand the underlying ideas being adopted to deal with the well-known exploitation/intensification and exploration/diversification abilities, in order to balance the convergence and the solution quality of an optimization algorithm.…”

Section: B Discussion and Common Research Directions Observed For Bomentioning

confidence: 99%

Optimization of Potable Water Distribution and Wastewater Collection Networks: A Systematic Review and Future Research Directions

Zhao

Beach

Rezgui

2016

IEEE Trans. Syst. Man Cybern, Syst.

View full text Add to dashboard Cite

Abstract-Potable water distribution networks (WDNs) and wastewater collection networks (WWCNs) are the two fundamental constituents of the complex urban water infrastructure. Such water networks require adapted design interventions as part of retrofitting, extension and maintenance activities. Consequently, proper optimization methodologies are required to reduce the associated capital cost while also meeting the demands of acquiring clean water and releasing wastewater by consumers. In this paper, a systematic review of the optimization of both WDNs and WWCNs, from the preliminary stages of development through to the state-of-the-art, is jointly presented. Firstly, both WDNs and WWCNs are conceptually and functionally described along with illustrative benchmarks. The optimization of water networks across both clean and waste domains is then systematically reviewed and organized, covering all levels of complexity from the formulation of cost functions and constraints, through to traditional and advanced optimization methodologies. The rationales behind employing these methodologies as well as their advantages and disadvantages are investigated. The paper then critically discusses current trends and identifies directions for future research by comparing the existing optimization paradigms within WDNs and WWCNs and proposing common research directions for optimizing water networks. Optimization of urban water networks is a multidisciplinary domain, within which this paper is anticipated to be of great benefit to researchers and practitioners.

show abstract

“…The solution quality is enhanced iteration by iteration, till the search process converges to the best solution. More details about the algorithm can be found in [36,37].…”

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

confidence: 99%

“…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. Among the several approaches, comparative simulation studies showed the very good performance of evolutionary algorithms based on Harmony search [35][36][37]. The Harmony search algorithm was firstly developed by Geem et al [35] in analogy with the music improvisation process of musicians adjusting the pitches of their instruments to obtain the best harmony.…”

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

View full text Add to dashboard Cite

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.

show abstract

An intelligent global harmony search approach to continuous optimization problems

Cited by 58 publications

References 21 publications

Harmony Search algorithm: a variant with Self-regulated Fretwidth

Harmony Search algorithm: a variant with Self-regulated Fretwidth

Optimization of Potable Water Distribution and Wastewater Collection Networks: A Systematic Review and Future Research Directions

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

Contact Info

Product

Resources

About