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40 articles for “constraint optimization problem”
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A Review of Particle Swarm Optimization
Abstract: Particle swam optimization (PSO) is a computational technique that streamlines a problem by attempting to improve the arrangement of an applicant with respect to a given value ratio iteratively. This approaches the problem by having a number of candidate solutions, and then pushes the particles in the search space according to a mathematical equation over the position and velocity of the particles. Researchers and specialists have provided various perspectives and …
Published in Journal of Communication Engineering & Systems · Vol. 11, Issue 2, 2021 · pp. 29–36 Read article
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Determination of the Optimal Generation Location using Particle Swarm Optimization
Abstract: This paper presents an optimization approach to determine the optimal location for installing a new generator in which the technical, economic and environmental aspects are all taken into consideration. The location that yields the minimum fuel costs, emission and system loss is considered as the optimal generation location. The formulated objective function and its constraints compose an optimization problem, which is solved using particle swarm optimization (PSO). The proposed PSO-based …
Published in Journal of Power Electronics and Power Systems · Vol. 2, Issue 2, 2012 · pp. 34–44 Read article
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Design of Differential Evolution Optimized PI Controller for a Temperature Process
Abstract: Differential evolution is a new stochastic population-based optimization algorithm. It is an accurate, fast and robust optimization method. In this paper, a PI controller is used and differential evolution optimization technique is used to optimize the controller parameters. The robust controller parameters are obtained by solving the optimization problem, which consists of objective functions and constraints, using differential evolution method. Here differential evolution is implemented in tuning of a PI …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 17–26 Read article
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Solving Economic Load Dispatch Problems through Moth Flame Optimization Algorithm
Abstract: AbstractThis paper proposes the nature-inspired moth flame optimization (MFO) algorithm to solve the economic load dispatch (ELD) problem of power system. The ELD is a concept where the committed generating units are scheduled to meet the total power demanded by the residential area. The ELD problems are solved by the optimization process of the objective function, hence optimization is done by minimizing the total fuel cost function of the generating …
Published in Journal of Semiconductor Devices and Circuits · Vol. 3, Issue 3, 2016 · pp. 25–33 Read article
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Optimizing Economic Load Dispatch in a 10-Unit System Using the SSA Method
Abstract: The optimization of economic load dispatch (ELD) in a 10-unit power system employing the social spider algorithm (SSA) method is reported. ELD is a critical aspect of power system operation, aiming to allocate the power generation among multiple units efficiently while meeting the demand at the lowest possible cost. The SSA method, inspired by the collaborative behavior of social spiders, demonstrates its efficacy in solving optimization problems. In this research, …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 · pp. 1–13 Read article
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Solving Optimization Problems Using the Graphical Method of Linear Programming
Abstract: Linear programming is a mathematical optimization technique used for maximizing or minimizing a linear objective function while satisfying a set of linear constraints. This method plays a crucial role in various industries, including manufacturing, finance, transportation, and supply chain management. Among the different approaches to solving linear programming problems, the graphical method provides a simple and intuitive way to visualize and solve problems involving two decision variables. By plotting constraints …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 2, 2025 · pp. 01–08 Read article
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Topology optimization of structures with manufacturing constraints in ANSYS Workbench 19.3
Abstract: The topology optimization analysis system of ANSYSWORKBENCH19.3 is widely used in structural design because it includes manufacturing constraints. However, the topology of the structure and the ease of manufacturing will also change depending on how these manufacturing constraints are set and used. This paper studies the methodology to obtain a more convenient topology on manufacturing while minimizing the mass of the structure by rationally setting the manufacturing constraints. An example …
Published in Journal of Experimental & Applied Mechanics · Vol. 14, Issue 2, 2023 · pp. 23–37 Read article
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Aspect of Power Transformer Design and Optimization
Abstract: Transformer is one of the most important components of power system. Preliminarily it looksa simple device but from analysis and innovative point of view, it is the big bank ofengineering, which comprises civil, mechanical, chemical and electrical engineering. It is thetime of taking challenges and respective solution of minimizing cost of transformer withoutaffecting customer specifications. This is only possible by design optimization process.Optimization is the process of making something better. …
Published in Trends in Electrical Engineering · Vol. 7, Issue 1, 2017 · pp. 8–18 Read article
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Comparing Graphical and Algebraic Methods in Solving Linear Programming Problems
Abstract: Linear Programming (LP) is a fundamental optimization technique widely employed across engineering, manufacturing, transportation, finance, healthcare, and other industrial sectors to support effective resource allocation and informed decision- making. Among the various solution techniques, the graphical and algebraic methods remain the two most fundamental approaches, each offering distinct advantages depending on the complexity and dimensionality of the optimization problem. This paper presents a comprehensive comparative study of these methods by …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 33–43 Read article
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Modelling & Simulation Of Fuzzy Logic Based Controller For Energy Storage System
Abstract: AbstractThe problem of transient stability in multimachine model is a semi-infinite optimization problem for nonlinear phenomenon in network of energy storage system. As this involves several sets of differential equations and algebraic constraints; therefore the application of several mathematical programming techniques won’t be enough to solve the problem. In the past several ad hoc algorithms had been proposed. This study presents a new methodology to restore the transient stability by …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 2, 2017 · pp. 9–15 Read article
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Heuristic Application on Energy Storage System Allocation in Wind Integrated Power System
Abstract: Increasing penetration of renewable energy significantly alters the network power flow in terms of direction as well as magnitude. The intermittent and uncertain nature of renewable inputs is a major concern since the power flow in the system is affected considerably. Hence to support bulk integration of renewable energy in the power system, bulk or distributed energy storage systems can be implemented. The energy storage system is utilized to absorb …
Published in Journal of Power Electronics and Power Systems · Vol. 12, Issue 2, 2022 · pp. 21–31 Read article
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Spectral Intuitionistic Fuzzy Hypergraph Operators and Dominance Kernels for Resilient Discrete Network Design
Abstract: A new discrete-mathematical framework is developed for resilient network design on intuitionistic fuzzy hypergraphs, where uncertainty is explicitly represented through membership, non-membership, and hesitation degrees associated with both vertices and hyperedges. These three components are systematically integrated into an effective incidence operator that captures the underlying uncertain relationships within complex hypergraph structures. Based on this operator, both un-normalised and normalized Laplacian matrices are formulated to characterize the spectral properties and …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 41–48 Read article
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A Disaggregated Optimization Approach for Competitive Procurement of Energy and Operating Reserve
Abstract: In restructured environment, Ancillary Services (AS) plays a vital role, as they are required for reliable and secure operation of the power system. Operating Reserve (OR), as one of the main AS, is a capability of a power system to prevent any unexpected imbalances caused by generation, transmission or equipment outage has been considered in this work. The approach is based on disaggregated clearing of energy and OR, which can …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 3, 2016 · pp. 33–41 Read article
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Finding optimal solutions for an economic load dispatch problem considering thermal, solar and wind power plants by using salp swarm and northern goshawk optimization algorithms
Abstract: This paper proposes a new variant of the traditional economic load dispatch (NELD) problem. Unlike traditional economic load dispatch (TELD), generating sources in NELD are diversified with different types, including thermal, wind, and solar power plants. The reduction of total fuel consumption from thermal power plants is the main objective of this study. The Salp swarm algorithm and Northern Goshawk optimization are utilized to find the optimal solution for NELD. …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 3, 2022 · pp. 1–11 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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Linear Programming for Profit Optimization in Small-Scale Manufacturing: A Python-Based Simplex and Machine Learning Approach
Abstract: Profit maximization under resource constraints is a classic challenge. Small manufacturers face tight margins and scarce capital every day. This paper tackles that problem using four Python-based methods. The case study is Bintang Bakery in Bandar Lampung, Indonesia. The bakery makes three bread types and faces 18 resource constraints. Data comes from Anggoro et al. Methods tested include LP revised simplex, Differential Evolution, PSO, and ANN Surrogate. General-purpose scipy minimizers …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 01–11 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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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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Economic Load Dispatch using GAMS for 20 bus Rapid Transit Vehicular System
Abstract: This paper investigates a 20-bus system smart grid for economic load dispatch using GAMS software which is used for future rapid transit vehicles. Rapid transit is the need of the hour of the emerging vehicular technologies. If we are trying to understand the various transit systems such as buses and trains and again the classification of light rail, metro and fast and bullet trains running on a DC/AC system, it …
Published in Trends in Electrical Engineering · Vol. 13, Issue 3, 2023 · pp. 1–6 Read article
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Heuristic Based Transportation Routing and Sizing
Abstract: Employee transportation is one of the most concerned issues and a part of HR policy in today’s work culture. Optimization of these routes and analysis of scenario needs to be done to leverage cost benefits for the organizations of today. Traditional studies focus on goods delivery and pickup, but employees are a totally different entity, which change the type of problem to be solved. As the entity to be considered …
Published in Journal of Production Research & Management · Vol. 5, Issue 3, 2015 · pp. 20–27 Read article