نتایج جستجو برای: discrete variables teaching learning based optimization harmony search
تعداد نتایج: 4058830 فیلتر نتایج به سال:
CO2 emission is one of the biggest environmental problems and contributes to global warming. The climatic changes due damage nature triggering a climate crisis globally. To prevent possible crisis, this research proposes an engineering design solution reduce emissions. This optimization-machine learning pipeline set models trained for prediction variables ecofriendly concrete column. In researc...
In this paper a hybrid genetic and harmony search algorithm is proposed to find the possible best sequence of operation solutions for hybrid flow shop scheduling problems. In this work the problem is considered with respect to the objective of minimization of makespan. Hybrid flow shop scheduling problem is considered for the sequencing of jobs in a hybrid flow shop with two or more identical m...
The clustering of web search results or web document clustering (WDC) has become a very interesting research area among academic and scientific communities involved in information retrieval. Systems for the clustering of web search results, also called Web Clustering Engines, seek to increase the coverage of documents presented for the user to review, while reducing the time spent reviewing the...
هدف پژوهش حاضر بررسی تاثیر روش تدریس واژگانی (واژه-محور) بر یادگیری لغات در بین دانش آموزان دوره پیش دانشگاهی است. بدین منظور دو گروه از دانش آموزان دوره پیش دانشگاهی (شصت نفر) که در سال تحصیلی 1389 در شهرستان نور آباد استان لرستان مشغول به تحصیل بودند انتخاب شده و به صورت قراردادی گروه آزمایش و گواه در نظر گرفته شدند. در ابتدا به منظور اطمینان یافتن از میزان همگن بودن دو گروه از دانش واژگان، آ...
This paper thoroughly reviews and analyzes the main characteristics and application portfolio of the so-called Harmony Search algorithm, a meta-heuristic approach that has been shown to achieve excellent results in a wide range of optimization problems. As evidenced by a number of studies, this algorithm features several innovative aspects in its operational procedure that foster its utilizatio...
Random search algorithms are useful for many ill-structured global optimization problems with continuous and/or discrete variables. Typically random search algorithms sacrifice a guarantee of optimality for finding a good solution quickly with convergence results in probability. Random search algorithms include simulated annealing, tabu search, genetic algorithms, evolutionary programming, part...
this thesis attempts to measure learning styles, self efficacy and intrinsic motivation as predictors of iranian ielts reading comprehension. in order to address this issue, a quantitative study was conducted on some randomly selected intact students at ferdowsi university. these two groups were assigned as they were undergraduate (ba=91) and graduate (ma =74) students; they were all aged betwe...
High peak-to-average power ratio (PAPR) of the transmitted signal is one of the limitations to employing orthogonal frequency division multiplexing (OFDM) system. This paper considers the use of the tone injection (TI) scheme to reduce the PAPR of an OFDM signal. However, optimal TI (OTI) requires an exhaustive search over all combinations of possible constellations, which is an NP-hard problem...
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