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1940 articles for “optimality” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Optimal Green Design of a Reinforced Cement Concrete Footing
Abstract: The goal of a civil engineer is not only to design, analyse, construct and maintain a safe green environment for the living but also to provide an efficient design which optimizes the use of concrete. The design of footing plays an important role in the design of structures carrying heavy loading. The footing is the vital element of the structure which carries the entire load of the structure and transfer …
Published in Recent Trends in Civil Engineering & Technology · Vol. 9, Issue 2, 2019 · pp. 23–38 Read article
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Reinforcement Layout Optimization of RCC Beam using Firefly Algorithm
Abstract: The optimization of layout design of steel in the domain of concrete has been an interesting topic during the last few years. The main focus of this study is to make an attempt to determine the optimal layout of steel in the concrete domain using metaheuristic algorithms. In this study, firefly algorithm is used. Two different approaches have been studied and the merits and demerits have been put forward. The …
Published in Recent Trends in Civil Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 28–35 Read article
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Process Variable Optimization and Experimental Review of Aero-engine Blade using ECM
Abstract: AbstractProcess of blade in (EMC) can be effected by numerous factors, e.g., shape of blade, electrolytic liquid field and anodic dissolution, ECM parameters may result in affections on blade accuracy. Some aero-engine blade as research object, five main process parameters, voltage, machining gap, feed rate, temperature of working fluid and pressure variation of electrolyte inlet/outlet, are evaluated and optimized as per BP neural network Method. From 3125 possible operating parameter …
Published in Recent Trends in Sensor Research & Technology · Vol. 5, Issue 3, 2018 · pp. 27–32 Read article
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Optimal Location of IPFC based on Installation Cost in a Power System Network using ABC Algorithm
Abstract: This paper presents a methodology for locating the optimal position of Interline Power Flow Controller (IPFC) in a power system network based on installation cost. The proposed methodology uses both conventional and non conventional optimization tools such as LR and ABC, respectively. This methodology is formulated mathematically based on installation cost of the FACTS device and generation cost of the real power. IPFC is modeled using Power Injection (PI) model …
Published in Trends in Electrical Engineering · Vol. 2, Issue 1-2-3, 2012 · pp. 11–30 Read article
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Multi-Attribute Based Optimal Location of Renewable Energy Sources in Deregulated Power Sector
Abstract: Integration of renewable energy into power grid has great importance for the electrical power system. Several methods have been developed to determine the optimal location of renewable energy sources in the power system based on technical and economical aspects. In the present paper, the optimum location of renewable energy sources has been determined by considering social benefit, power loss and pollutant emission. A prominent optimization technique, primal-dual interior point method …
Published in Trends in Electrical Engineering · Vol. 6, Issue 3, 2016 · pp. 78–88 Read article
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ONU Placement and Restoration using Ant Colony Optimization Algorithm for Fiber Wireless Network
Abstract: AbstractFusion of optical domain and wireless domain makes a new promising technology called as Fiber Wireless (FiWi) access network, which actually integrates the features of both in it. FiWi consists of passive optical network (PON) as optical backend which serves high bandwidth, high data rates etc. and wireless mesh network (WMN) as wireless frontend which provides the self-healing nature, high mobility and low cost. Various optimizing schemes for Optical Network …
Published in Trends in Opto-electro & Optical Communication · Vol. 7, Issue 2, 2017 · pp. 57–73 Read article
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Spider Monkey Optimization Implementation on MANET
Abstract: Spider Monkey Optimization is a new swarm intelligence is a based on Spider Monkeys. It is population based but more of arbitrary meta-heuristic. It is well balanced permanently probation and ontogenesis most of the time. Routing is a method through which knowledge is distributed from sending node to receiving node. Mapping offers the link between two or more extra human activity nodes in network. During this job we lean to …
Published in Current Trends in Information Technology · Vol. 11, Issue 3, 2021 · pp. 1–7 Read article
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Deployment of Fi-Wi Networks Using Teaching Learning Based Optimization Algorithm
Abstract: AbstractThe demand of bandwidth and mobility to end users is ever increasing. For fulfilling this, fiber-wireless (Fi-Wi) networks are designed by integrating the advantages of optical and wireless networks. Optical networks offer high bandwidth and stability while wireless networks offer cost efficiency and mobility. With these advantages, Fi-Wi networks also offer some challenging issues. There are four key issues in Fi-Wi networks, that are ONU placement, routing, energy saving and …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 2, 2017 · pp. 14–26 Read article
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Sulfur recovery process simulation and optimization
Abstract: Objective of this work is to simulate the sulfur recovery process by using the latest version of Aspen HYSYS V10 simulation program. Sulfur recovery model used in the simulation program is Claus three stage process. A total recovery of 97.85% sufur was recovered from the rich acid gas feed. The effects of H2S/SO2 ratio, outlet sulfur dew point margin, catalytic stage temperature, CS2 and COS concentrations, role of catalyst, acid …
Published in Emerging Trends in Chemical Engineering · Vol. 5, Issue 3, 2018 · pp. 32–40 Read article
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AI-Optimized Biodegradable Polymer Composites for Medical Applications
Abstract: The value of biodegradable polymer composites in the medical practice has been massive as the composites may be deployed to provide temporary structural support, and they are also safe to degrade within the human body. However, the conventional material design process is trial and error, which is ineffective and inefficient. The article proposes a hybrid model involving experimental characterization, as well as an artificial intelligence (AI)-based model, to optimize biodegradable …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Finite Element, Experimental, and Machine Learning-Based Optimization of Machining Stability for Polymer Composite Material Processing
Abstract: The machining of polymer composite materials, particularly fibre-reinforced polymer-matrix composites, requires stable spindle-tool performance to avoid delamination, fibre pull-out, matrix cracking, thermal softening, poor surface integrity, and premature tool wear. In line with the scope of the Journal of Polymer & Composites, this study presents an integrated finite element, experimental, and machine learning framework for improving machining stability during end-milling of composite material systems. The spindle-tool assembly is modelled using …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Optimization of RCC Building Frames Using Bracing and Without Bracing with Various Position of Shear Wall
Abstract: This review paper aims to analyze the optimization of reinforced cement concrete (RCC) building frames. In particular, it sets out to analyze the structural performance of frames that have not been braced, and frames which have been braced, along with the different shear wall configurations. RCC frames (as the name suggests) are key elements of modern construction because they offer strength combined with flexibility. In addition, structural elements such as …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 34–44 Read article
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Machine Learning-Based Task Scheduling and Resource Optimization in Edge-IoT Systems
Abstract: The rapid expansion of Internet of Things (IoT) applications has introduced significant challenges in managing computational workloads across distributed edge environments. Edge- IoT systems are characterized by limited computational capacity, dynamic task arrivals, and strict latency constraints. Traditional heuristic-based scheduling techniques often fail to adapt to fluctuating workloads and heterogeneous resource availability. This study proposes a machine learning-based task scheduling and resource optimization framework for Edge-IoT systems. The proposed model …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Efficient Design and Optimization of Cloud-Native Backend Services for Full-Stack Web Applications
Abstract: The fast development of cloud computing has immensely altered architectural outlays of the current full stack web applications. Conventional monolithic back-end systems tend to have a lack of scalability, complex deployment, and wasted resources. To overcome these issues, this paper will design and optimize cloud-native Java based back-end microservices based on Spring Boot, Docker, Kubernetes and REST based models of communication. This architecture proposal has containerized microservice implementation with an …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 2, 2026 · pp. 24–32 Read article
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A Privacy-Preserving and Performance-Optimized Machine Learning Framework for Personalized E-Commerce User Experience
Abstract: In contemporary e-commerce websites, merchant suggestions are the most outstanding way to boost customer satisfaction and conversion levels. Nevertheless, the growing dependence on user data provokes significant concerns over the protection of privacy and efficiency in computation. In this paper, we have suggested a privacy-preserving and performance-optimized machine learning framework that allows customized e-commerce experiences and protects the sensitive information of users. The framework incorporates the concepts of federated learning …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 2, 2026 · pp. 1–8 Read article
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Strategies in Hybrid Evolutionary Algorithms for Optimization
Abstract: AbstractEvolutionary computing has grown to be a significant methodology in the field of research. Robustness and adaptation are some of the prime features of evolutionary algorithms as compared to other global optimization techniques. Even though evolutionary computation is popularly used for solving several important practical problems in engineering, business, commerce, etc., there is scope for fine-tuning its performance. It is not easy to find any one best algorithm for solving …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 3, 2017 · pp. 29–32 Read article
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Optimization of Simulated Annealing Parameters for Bi-Criteria Multiprocessor Task Scheduling Using RSM-Grey Methodology
Abstract: AbstractSimulated Annealing (SA) has been shown as an exceptional method for finding an optimal solution to the combinatorial optimisation problems. In the present work, optimal combinations of different simulated annealing parameters have been identified by using the RSM-based grey relational analysis (GRA) for Bi-criteria multiprocessor task scheduling problem. Parameter selection is needed as SA is a meta-heuristic that does not specify all the necessary information for the optimised results. The …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 3, 2017 · pp. 17–28 Read article
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Novel Architecture of an Intelligent Query Optimizer for Distributed Database in Cloud Environment
Abstract: Cloud computing delivers services like storage, databases, servers, networking, software and many more over the internet. Users get services from cloud providers and pay for it as per their usage. Database as a service DaaS is becoming a more popular service of cloud computing. Enterprises are transferring the storage data to cloud computing centre. Due to faster response and more reliability, distributed databases are used in cloud for storing and …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 2, 2018 · pp. 28–32 Read article
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Query Optimization
Abstract: Abstract: In general, optimization is important task. optimization of a query is a difficult task when the case of large database it a more difficult to solve the problem and that can be said as NP-hard problem. This research is done to find a suitable query optimization algorithm on the basis of various factors like cost and time. In this research paper, various optimization algorithm is used to find the …
Published in Journal of Advances in Shell Programming · Vol. 6, Issue 3, 2019 · pp. 20–24 Read article
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An Enhanced Application Oriented Predictive Analytic using Optimal Deep Learning Model
Abstract: In order to presents better Predictiveanalytic models of different data using various machine learning algorithms. The data prediction is developed on various applications. These applications are facing many challenges while collecting data and data selection etc. The proposed prediction model involves several phases like (a) Data acquisition, (b) Data cleaning, (c) Data normalization, (d) Optimal Feature selection, and (e) Prediction. The optimal feature selection will be accomplished by a new …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 2, 2020 · pp. 5–10 Read article