Various continuous harmony search algorithms for web-based hydrologic parameter optimisation

Reuse of design knowledge is an important goal in engineering design, and has received much attention. A substantial set of algorithms, methodology, and developed systems exist which support various aspects of this goal. However, the majority of these systems are built around a particular user interface, often some form of Web-based repository portal. The work described here presents search and other core functionality as web services rather than a monolithic repository system. These services may then be employed by a variety of applications, integrating them into interfaces familiar to the designer, extending functionality, streamlining their use, and enabling them to be employed throughout the design process. This paper demonstrates this approach by wrapping previously developed repository search algorithms as web services, and then using these within a plug-in for an existing commercial CAD environment. Based on issues encountered in developing this demonstration, this paper also discusses the challenges and potential approaches toward a more general, widespread application of web services in engineering design.

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Improved harmony search algorithms by tournament selection operator

2015 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec.2015.7257278 ◽

2015 ◽

Cited By ~ 1

Author(s):

Gang Li ◽

Qingzhong Wang ◽

Quan Du

Keyword(s):

Harmony Search ◽

Search Algorithms ◽

Improved Harmony Search ◽

Tournament Selection ◽

Selection Operator

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Hyperspace Geography: Visualizing Fitness Landscapes beyond 4D

Artificial Life ◽

10.1162/artl.2006.12.2.211 ◽

2006 ◽

Vol 12 (2) ◽

pp. 211-216 ◽

Cited By ~ 9

Author(s):

Janet Wiles ◽

Bradley Tonkes

Keyword(s):

Cognitive Abilities ◽

Human Perception ◽

Continuous Functions ◽

Basins Of Attraction ◽

Search Algorithms ◽

Fitness Landscapes ◽

Neighborhood Structure ◽

Web Based ◽

Complex Spaces ◽

Graph Paper

Human perception is finely tuned to extract structure about the 4D world of time and space as well as properties such as color and texture. Developing intuitions about spatial structure beyond 4D requires exploiting other perceptual and cognitive abilities. One of the most natural ways to explore complex spaces is for a user to actively navigate through them, using local explorations and global summaries to develop intuitions about structure, and then testing the developing ideas by further exploration. This article provides a brief overview of a technique for visualizing surfaces defined over moderate-dimensional binary spaces, by recursively unfolding them onto a 2D hypergraph. We briefly summarize the uses of a freely available Web-based visualization tool, Hyperspace Graph Paper (HSGP), for exploring fitness landscapes and search algorithms in evolutionary computation. HSGP provides a way for a user to actively explore a landscape, from simple tasks such as mapping the neighborhood structure of different points, to seeing global properties such as the size and distribution of basins of attraction or how different search algorithms interact with landscape structure. It has been most useful for exploring recursive and repetitive landscapes, and its strength is that it allows intuitions to be developed through active navigation by the user, and exploits the visual system's ability to detect pattern and texture. The technique is most effective when applied to continuous functions over Boolean variables using 4 to 16 dimensions.

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OPTIMASI PENJADWALAN PRODUKSI MENGGUNAKAN PENDEKATAN ALGORITMA HARMONY SEARCH DI PT ADI SATRIA ABADI (ASA

Jurnal Disprotek ◽

10.34001/jdpt.v11i1.826 ◽

2020 ◽

Vol 11 (1) ◽

pp. 7-12

Author(s):

Inaaratul Chusna Ichda Purwanto ◽

Yohanes Anton Nugroho ◽

Suseno Suseno

Keyword(s):

Search Algorithm ◽

Harmony Search ◽

Search Algorithms ◽

Harmony Search Algorithm ◽

Due Date ◽

Average Value ◽

Scheduling Method ◽

Time Savings ◽

A Company ◽

Selection Of

PT Adi Satria Abadi (ASA) is a company engaged in the processing of leather, especially sheep skin and goat skin, which is used for the manufacture of golf gloves. The problem faced by the company is the production process that exceeds the due date to other customers who order products at PT ASA. From the research, it is known that the cause is a company scheduling method that has not been organized so that the production sequence is concurrent. Selection of methods Harmony Search algorithms in scheduling are caused by delays. The Harmony Search algorithm can provide a better makespan value than the company method. The results of the company method obtain 0.9 months makespan average, the Harmony Search Algorithm method produces an average 0.8 months makespan. In addition, the use of the Harmony Search Algorithm method can reduce the average value of 0.1 months makespan. The results of the study in three months experienced time savings of 0.6 months, 0.6 months and 0.1 months respectively.

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Segmentation of White Chali Arecanuts using Soft Computing Methods

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.g5848.059720 ◽

2020 ◽

Vol 9 (7) ◽

pp. 1049-1055

Keyword(s):

Differential Evolution ◽

Harmony Search ◽

Cuckoo Search ◽

Search Algorithms ◽

Fine Tuning ◽

Experimental Result ◽

Multilevel Thresholding ◽

Low Contrast ◽

Morphological Segmentation ◽

Grading Systems

Performance of computer vision based grading systems is remarkably affected by the efficiency of object segmentation. The automatic segmentation of low contrast objects is a challenging task in various fruit and nut grading systems. In this paper background elimination of white chali arecanut images is carried out using morphological segmentation. The fine-tuning of edge threshold for morphological segmentation is achieved by obtaining threshold values from multilevel thresholding of original grayscale image. The best figure ground segmentation is selected by a network trained using shape parameters of the ground truth masks. The performance of morphological segmentation is evaluated for the best figure ground segmentations using precision, recall and F-scores. Comparison of segmentation performance is done by employing multilevel thresholding based on Otsu, Fuzzy c-mean, Harmony search, Differential Evolution and Cuckoo Search algorithms. The experimental result shows that, multilevel thresholding using Differential Evolution and Cuckoo Search algorithms yield best results for the fine-tuning of edge thresholds and hence the better segmentation performance of the white chali arecanuts

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