Titlebook: Metaheuristics and Optimization in Computer and Electrical Engineering; Volume 2: Hybrid and Navid Razmjooy,Noradin Ghadimi,Venkatesan Raji

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Order Reduction of the Time-Independent Linear Systems Using the Firefly Algorithm with Neighbourho. For this purpose, a suitable constant structure is regarded for the decreasing order model. Then, using the desired algorithm, by minimizing a fitting function, the parameters of the decreased order model will be specified at the same time.

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Intelligent Voltage Control of Electric Vehicles to Manage Power Quality Problems Using the Improveates and must be obtained by conducting IEEE standard tests, which is the cost itself what is more important is that these parameters are not constant and vary greatly with the passage of time and the working conditions of the engine such as the ambient temperature and driving cycles. The old parame

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Apple Spots and Defects Detection Based on Machine Vision, Fuzzy Systems, and Improved Gray Wolf Oped for the quality control of this pure product based on image processing and machine vision, each of which has its advantages and disadvantages. Soft calculations were done to detect apple tree defects. The main goal of this chapter is to design a suitable system for detecting surface defects in ap

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Modeling and Optimal Control of Power System Frequency Load Controller by Applying Disturbance in t modeling process, and modifications to the design of the energy method. A flexible manager must be used because traditional controllers are unable to resolve the issue. Different decentralized robust methods, optimal control, and neural networks have all been employed in recent years to improve the

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Multi-criteria Building Performance Optimization by MM-Based IASO Method: A Case Study,housing to obtain the optimal equilibrium among the cooling and heating features of the studied housing. Eleven design variables are chosen for this building. For more validation, the ultimate outcomes are also compared with the “true” Pareto front gained over an optimizing procedure on a simulation

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A Chameleon Swarm Optimization Model for the Optimal Adjustment of Retrofit Values in Spanish Houser personal use, including various measures that have been assumed for energy efficiency in the building. Various limitations that affect the cost are related to the volume of adherence to cooling and heating requirements, achieving demand, non-negative limitations related to parameters, and physical

GEM

Brain Tumor Segmentation Based on Zernike Moments, Enhanced Ant Lion Optimization, and Convolutionaity are selected to produce a final feature map. Next, four original images are encoded into new four images to represent more unique and key information using the Local Directional Number Pattern (LDNP). As different encoded image leads to obtaining different final results and accuracies, the Enhan

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