A niching chaos optimization algorithm for multimodal optimization

Rim, Chol-Min; Piao, Songhao; Guo, Li; Pak, UnSun

doi:10.1007/s00500-016-2360-2

Cited by 98 publications

(32 citation statements)

References 24 publications

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“…The mechanism also improves the FSO algorithm in terms of convergence speed and failure to drop at the local optimal point. 41,42 In this research, the logistic map is used as a familiar type of chaotic function to develop the algorithm. Based on the logistic map mechanism, where, o describes the system generators capacity, n defines the population number, q means for the repetition number, n represents the chaotic mechanism amount in repetition n which is ranged in the interval [0, 1].…”

Section: Fluid Search Optimization Algorithm Based On Chaos Theory (Imentioning

confidence: 99%

“…Based on the logistic map mechanism, where, o describes the system generators capacity, n defines the population number, q means for the repetition number, n represents the chaotic mechanism amount in repetition n which is ranged in the interval [0, 1]. 41,42 Considering the logistics map mechanism and chaos conception, the suggested new FSO direction is as follows: Figure 3 shows the flowchart diagram of the IFSO algorithm. To validate the suggested IFSO algorithm, four different benchmark functions are used and the results are compared with some various meta-analysis processes such as CGOA, 43 GRA, 44 and basic FSO.…”

Section: Fluid Search Optimization Algorithm Based On Chaos Theory (Imentioning

confidence: 99%

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Evaluating climate changes and land use changes on water resources using hybrid Soil and Water Assessment Tool‐DEEP optimized by metaheuristics

Liu

Mizzi

2020

Concurrency and Computation

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The objective of this research is to investigate the effect of land-use and climate change on the volume of runoff produced and its impact on water resources. It is clear that the more accurate the assessment of runoff in the future, the better the evaluation of the impact of land-use and climate changes on water resources. Thus, to more accurately predict water sources in the future, runoff is estimated using two Soil and Water Assessment Tool (SWAT) and SWAT-DEEP-IFSO models. The results showed that the SWAT-DEEP-IFSO model has a better estimation than the SWAT method. Because Deep Belief Network and an improved optimization algorithm called Improved Fluid Search Optimization (IFSO) algorithm have been utilized in optimizing the hybrid SWAT model that can reduce the error of runoff simulation. After selecting the best model for estimating runoff, the effect of land-use and climate change is evaluated using different scenarios. Results show that the simulated runoff under the influence of climate and land-use changes can impact on the average yearly and monthly runoff. These factors have a significant effect on the average yearly runoff changes and are predicted an increasing trend for average yearly runoff. But climate and land-use changes have a different impact on the different months and for some months of the year the runoff has an increasing trend and for some months the runoff has a decreasing trend. Based on land-use scenarios, it is found that due to the decrease in rangelands and increase in agricultural lands, there is a possibility of severe floods and drought periods in the region, which reduces the water resources of the study area. K E Y W O R D S deep belief network, fluid search optimization algorithm, runoff, soil and water assessment tool, water resource 1 INTRODUCTION Today, all climate scientists agree that global warming causes important climatic phenomena and due to climate changes, the probability of heavy rainfall and flood risk has been increased. 1 Global warming dramatically affects rainfall characteristics, soil moisture, water levels of the seas and oceans, and airflow patterns. Also, it can cause severe floods and storms and reduce glaciers. Reducing snowfall and rain and increasing drought, thereby increasing soil salinity and reducing freshwater resources in coastal areas can be another result of global warming. 2 One of the effects of climate change can be seen in renewables resources such as water resources which have different impacts from point-to-point. This effect of

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Section: Fluid Search Optimization Algorithm Based On Chaos Theory (Imentioning

confidence: 99%

Section: Fluid Search Optimization Algorithm Based On Chaos Theory (Imentioning

confidence: 99%

Evaluating climate changes and land use changes on water resources using hybrid Soil and Water Assessment Tool‐DEEP optimized by metaheuristics

Liu

Mizzi

2020

Concurrency and Computation

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“…Chaos theory has been the subject of scientific research in various fields such as physics and mathematics in recent decades, but its simple meaning is rooted in human early perceptions of the universe. From the point of view of chaos theory, complex systems have a purely turbulent appearance and, as a result, appear irregular and random, while they may be subordinate to a given process with a specific mathematical formula . A simple formulation for the chaos behavior is illustrated below:

{normalCM}_{i + 1}^{j} = f ({CM}_{i}^{j}), j = 1, 2, \dots, k,

where k describes the map dimension and

f ({CM}_{i}^{j})

represents to the chaotic model generator function.…”

Section: Wao Based On Chaos Theorymentioning

confidence: 99%

“…From the point of view of chaos theory, complex systems have a purely turbulent appearance and, as a result, appear irregular and random, while they may be subordinate to a given process with a specific mathematical formula. 47,48 A simple formulation for the chaos behavior is illustrated below:…”

Section: Wao Based On Chaos Theory (Cwoa)mentioning

confidence: 99%

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Brain tumor diagnosis based on artificial neural network and a chaos whale optimization algorithm

Gong

Gao

Abza

2019

Computational Intelligence

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Accurate and early detection of the brain tumor region has a great impact on the choice of treatment, its success rate, and the follow‐up of the disease process over time. This study presents a new bioinspired technique for the early detection of the brain tumor area to improve the chance of completely healing. The study presents a multistep technique to detect the brain tumor area. Herein, after image preprocessing and image feature extraction, an artificial neural network is used to determine the tumor area in the image. The method is based on using an improved version of the whale optimization algorithm for optimal selection of the features and optimizing the artificial neural network weights for classification. Simulation results of the proposed method are applied to FLAIR, T1, and T2 datasets and are compared with different algorithms. Three performance indexes including correct detection rate, false acceptance rate, and false rejection rate are selected for the system performance analysis. Final results showed the superiority of the proposed method toward the other similar methods.

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Breast cancer diagnosis based on a new improved Elman neural network optimized by meta‐heuristics

Zheng

Wang

Zhang

et al. 2019

Int J Imaging Syst Tech

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In this article, a new optimized method for diagnosing and analyzing breast cancer from the mammography images is presented. In this regard, preprocessing is used to remove the Gaussian noises that are used to happen in the mammography images and also to remove the additional areas. Then, image segmentation is performed on the images to determine the areas where the contrast material is perceptible. Afterward, combined feature extraction based on a discrete wavelet transform and gray‐level co‐occurrence matrix is proposed for extracting the important information fromthe images. Finally, a new classification model based on an improved Elman neural network (ENN) has been proposed. The ENN is optimized by an improvedversion of the collective animal behavior algorithm. Simulation results areimplemented to the Mammographic Image Analysis Society database and the resultsare compared with three different methods.

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A niching chaos optimization algorithm for multimodal optimization

Cited by 98 publications

References 24 publications

Evaluating climate changes and land use changes on water resources using hybrid Soil and Water Assessment Tool‐DEEP optimized by metaheuristics

Evaluating climate changes and land use changes on water resources using hybrid Soil and Water Assessment Tool‐DEEP optimized by metaheuristics

Brain tumor diagnosis based on artificial neural network and a chaos whale optimization algorithm

Breast cancer diagnosis based on a new improved Elman neural network optimized by meta‐heuristics

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