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320 articles for “Global optimization”
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Scheduled Charging and Discharging of Electric Vehicles for Charging Cost Optimization
Abstract: The growing number of Electric Vehicles (EVs) will have remarkable impacts on the power grid as it leads to the increase in total energy consumption. This increases the overall burden on the grid which would require new power plants. However, it is possible to minimize the impact by proper scheduling for charging and discharging of electric vehicles. In this paper, three optimal schemes have been compared i.e. global optimal scheduling …
Published in Journal of Microelectronics and Solid State Devices Read article
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Scheduled Charging and Discharging of Electric Vehicles for Charging Cost Optimization
Abstract: The growing number of Electric Vehicles (EVs) will have remarkable impacts on the power grid as it leads to the increase in total energy consumption. This increases the overall burden on the grid which would require new power plants. However, it is possible to minimize the impact by proper scheduling for charging and discharging of electric vehicles. In this paper, three optimal schemes have been compared i.e. global optimal scheduling …
Published in Journal of Microelectronics and Solid State Devices · Vol. 8, Issue 3, 2021 · pp. 1–10 Read article
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Survey on Teaching-Learning-Based Optimization
Abstract: Optimization is a process for finding maximum or minimum of a function subject to set of functions. In other words optimization finds the most suitable value for a function within a given domain. Global Optimization means finding minimum value of all local minima and maxima value from all local maxima. The procedure to find out the global maxima or minima point is called a Global Optimization. Teaching-Learning-Based Optimization(TLBO) is recently …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 3, Issue 1, 2016 · pp. 7–15 Read article
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Estimation of Burger Model Parameters by Inverse Analysis of Oedometer Data
Abstract: Contrary to the forward analysis, inverse analysis can be effectively utilized to determine the parameters of a constitutive model commonly used to represent the stress-strain-time behavior or the load-deformation-time behavior of the soil. This paper reports the development of a generalized inverse analysis formulation for the parameter estimation of four-parameter Burger model. The analysis is carried out by formulating the problem as that of mathematical programming in terms of identification …
Published in Recent Trends in Civil Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 37–54 Read article
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ATC Calculation in OPF Environment Using Hybrid Grey Wolf Optimizer and Particle Swarm Optimization
Abstract: Evolution of hybrid optimization provides new research direction in the real world problem solving by using more than one optimization techniques for obtaining speedy convergence and/or global optimal solution or solution near the global optimal. In this paper, a novel hybrid particle swarm optimization (PSO) and grey wolf optimizer (GWO) technique is used to calculate the available transfer capability in an optimal power flow environment. The proposed method has been …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 84–93 Read article
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Greedy Algorithm
Abstract: In mathematics and computer science, an algorithm is a self-contained step-by-step set of operations to be performed. Algorithms exist that perform calculation, data processing, and automated reasoning. A greedy algorithm is an algorithm that follows the problem solving heuristic of making the locally optimal choice at each stage[1] with the hope of finding a global optimum. In many problems, a greedy strategy does not in general produce an optimal solution, …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 2, Issue 2, 2015 · pp. 10–14 Read article
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Optimization of ED Problems of Interconnected Power System Using Particle Swarm Optimization
Abstract: This paper proposes an effective and useful evolutionary-based method to solve the economic load dispatch (ELD) problem. This paper introduces particle swarm optimization (PSO) technique for solving the economic dispatch (ED) problem in power system. ELD problem is really the solution of a large number of load flow problem with equality & inequality constraints. In this paper, a PSO technique for solving the ELD problem in power system is proposed. …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 1, 2015 · pp. 1–8 Read article
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Machine Learning-Based Quantification of Polymer Structure Property Relationships for Predictive Material Design
Abstract: Polymer structures exhibit complex, hierarchical arrangements that strongly influence macroscopic properties, yet consistent quantification remains challenging due to nonlinear interactions and limited unified modeling strategies. Existing approaches inadequately capture generalized structure–property mappings across diverse polymer systems. This research aims to establish a machine learning-based quantification model for polymer structure–property relationships to support predictive material design. A Polymer Structure Property Dataset of 5,000 polymer samples includes structural descriptors and experimentally measured …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 737–754 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 CMOS Current Mirror Load-based Differential Amplifier using Hybrid Cuckoo Search and Particle Swarm Optimization Algorithm
Abstract: Optimization of CMOS based analog circuits is becoming a practical solution for complex analog modules. There are number of evolutionary algorithms presented to optimize the analog circuits in different reported literatures. During optimization process, the optimal result may not be obtained with only individual algorithm or requires a more time. Therefore the hybrid algorithm of two or more algorithms is more effective method to obtain the goal. The Particle Swarm …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 71–78 Read article
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Path and Trajectory Planning of Unmanned Ground Vehicles with Vehicle Dynamic Characters
Abstract: Given partial knowledge about its environment (obstacle, road…) and goal position, optimal path and trajectory planning is a key problem for the control of unmanned vehicles. In path planning problem, it is very important to consider the dynamic limits of the vehicle with optimization function. The path planning was implemented by applying optimization methods based on the given obstacle information(virtual or measured by sensor system) and numerical map without considering …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 7–14 Read article
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A Survey of Genetic Algorithm Applications in Nuclear Fuel Management
Abstract: The prime aim of nuclear fuel management is to achieve higher fuel utilization without compromising safety during reactor operation. Nuclear fuel management optimization is a classical nuclear engineering problem, which has been studied for more than four decades and several techniques have been used for its solution. Genetic algorithm is one among the major global optimization techniques, used in the field of nuclear fuel management. Aim of this paper is …
Published in Journal of Nuclear Engineering & Technology · Vol. 4, Issue 1, 2014 · pp. 45–62 Read article
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Optimizing Supply Chain Management: Strategies, Innovations, and Sustainable Practices for Enhanced Operational Efficiency and Global Competitiveness
Abstract: Supply chain management (SCM) is a critical component of modern business operations, directly influencing operational efficiency and global competitiveness. This paper explores strategies, innovations, and sustainable practices aimed at optimizing SCM. It examines the integration of digital technologies, such as artificial intelligence and digital twins, to enhance supply chain performance and adaptability. Additionally, the study delves into sustainable supply chain management (SSCM) practices, including sustainable sourcing, green packaging, and waste …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 1–6 Read article
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Satellite sensing in Aero-plan guidance and radar tracking system
Abstract: Satellite sensing, far from being a mere auxiliary tool, is rapidly becoming the indispensable spinal cord of modern aeroplane guidance and radar tracking systems, promising a future of unparalleled precision, efficiency, and safety. The relentless demand for safer, more efficient, and globally integrated air traffic management necessitates a continuous evolution of aeroplane guidance and radar tracking systems. This paper outlines the transformative role and study of satellite sensing, specifically Global …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 37–45 Read article
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Orthogonal Thirty-Two Phase Sequence Sets Design
Abstract: In using orthogonal signals, a multi-input, multi-output (MIMO) radar system and a spread spectrum communication system can improve operating efficiency. The usage of polyphase coded signals as pulse compression sequences sets is a superior alternative. The Modified Genetic Algorithm (MGA) is utilized as a global optimization strategy to create thirty-two phase sequence sets in this work. Design orthogonal thirty-two phase sequence sets with an impulse-like Autocorrelation Function (ACF) and a …
Published in Current Trends in Signal Processing · Vol. 12, Issue 2, 2022 · pp. 33–39 Read article
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Prediction of Human Heart Disease
Abstract: AbstractData mining techniques have been widely used in clinical decision support systems for prediction and diagnosis of various diseases with good accuracy. These techniques have been very effective in designing clinical support systems because of their ability to discover hidden patterns and relationships in medical data. One of the most important applications of such systems is in diagnosis of heart diseases because it is one of the leading causes of …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 6, Issue 2, 2019 · pp. 27–31 Read article
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A New Variant of Bat Algorithm and Clustering Approach for Optimization Problems
Abstract: AbstractThis paper proposes a new variant of bat algorithm for optimization problems for solving global and continuous optimization problems to expand the weakness of BAT. The planned algorithm uses the genetic bat tactics for improving the search and to overcome the deficiency, directional echolocation is introduced to the standard bat algorithm to enhance its exploration and exploitation capabilities. The outcomes are taken on six benchmark optimization problems. From upshots, it …
Published in Journal of Web Engineering & Technology · Vol. 4, Issue 3, 2017 · pp. 1–5 Read article
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Design of Tool Allocation Positions on Magazines Using Optimization Algorithm
Abstract: In today’s manufacturing environment, several industries are accomplishing flexible manufacturing systems (FMS) of group technology in cellular manufacturing to meet the competitive market requirements.CNC machines are widely used in FMS due to their high flexibility in processing. Generation of optimal index positions of cutting tools index position is an important task to overcome then on-machining time of CNC machines and for achievement of optimal plans.The present work proposes an application …
Published in Trends in Machine design · Vol. 2, Issue 3, 2015 · pp. 20–29 Read article
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Review on Improving the Fuel Efficiency of a Hydraulic Excavator using various Optimization methods
Abstract: Due to global warming & rising energy cost, it has become the need of society to develop new techniques for pollutant emission & reduction of fuel consumption. This paper provides a comprehensive review of recent research on the energy-saving technology for minimizing the specific fuel consumption up to a certain level. The development, application and performance of hybrid hydraulic excavation system were analysed. These developed model system can be optimized …
Published in Trends in Mechanical Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 7–12 Read article
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Design and Analysis of Dispersion Flattened Low Loss Photonic Crystal Fiber
Abstract: AbstractThis paper demonstrates the study of triangular lattice hexagonal photonic crystal fiber with GeO2 doped core. The photonic crystal fiber (PCF) studied in this research work has a core doped with 97% molar concentrated GeO2 with seven layers of air-capillaries around the core. The design and analysis of optical characteristics, i.e., dispersion, confinement loss, and effective area have been studied extensively for optimizing the structure for a certain range of …
Published in Trends in Opto-electro & Optical Communication · Vol. 7, Issue 2, 2017 · pp. 41–50 Read article