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51 articles for “heuristics”
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Job Shop and Flexible Job Shop Scheduling Problems: Heuristic Optimization
Abstract: The development of modern wide-area engineering problems, as well as recent trends towards the creation of sustainable engineering systems for daily objectives have given birth to complex studies addressing technical, but also economical and environmental, aspects related to simple or multi-objective optimization problems. Recently, heuristic and (meta) heuristic approachesthat apply combinations of different heuristics with or without traditional search and optimization techniques were proposed to solve such problems. This paper …
Published in Journal of Production Research & Management · Vol. 10, Issue 1, 2020 · pp. 25–31 Read article
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An Improvised Hybrid Heuristic Algorithm for Uncapacitated Facility Location Problems
Abstract: Uncapacitated facility location (UFL) problems have received wide attention of many researchers over the past decade, particularly owing to their extensive applicability. While many exact and heuristic algorithms have been developed to solve the UFL problems, most of them cannot guarantee hit ratio (HR) and average relative percent error (ARPE). This paper presents the development of a hybrid heuristic combining stepwise allocation of facilities heuristic procedure with greedy search procedure …
Published in Journal of Production Research & Management · Vol. 2, Issue 1-2-3, 2012 · pp. 18–24 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
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Optimization of Helical Spring Weight using Meta-heuristic Algorithms
Abstract: Optimization is the act of obtaining the best results under given circumstances. A mathematical theory of optimization is highly in use and is being applied to design where design function can be expressed mathematically. Many techniques like Linear Programming, Branch & Bound technique, Dynamic Programming methods are available to solve optimization problems. But these conventional Methods suffer from certain drawbacks like sticking at suboptimal solution, inefficiency in handling problems having …
Published in Trends in Machine design · Vol. 5, Issue 2, 2018 · pp. 21–28 Read article
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Reducing Of Misinformation InflunceIn Online Social Network Using Heuristic Greedy Algorithm
Abstract: Now a day we use social media to communicate and share the information throughout the world. Many of us depend on this social media now a days everything is available here, once we access the media, we lots of information about our search, there is chances of have misinformation also. The authenticity of information content is weakened, and all kinds of misinformation depend on social media to spread rapidly. Network …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 1, 2022 · pp. 24–30 Read article
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Solution of Optimal Reactive Power Dispatch Problem Using a Novel Meta-heuristic Technique
Abstract: This paper presents the use of a recently developed algorithm inspired by the hunting mechanism of grey wolfs in nature, called grey wolf optimizer (GWO) algorithm for solving optimal reactive power dispatch (ORPD) problem. The ORPD is formulated as a complex optimization problem with nonlinear characteristic. The GWO is used to find the set of optimal control variables of ORPD problem, such as generators’ terminal voltage, position of tap changers …
Published in Trends in Electrical Engineering · Vol. 7, Issue 3, 2017 · pp. 8–16 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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An Offline Space Division Multiplexing Based Elastic Optical Network Model with Switching and Modulation Format Adaptation for Flexible Spectrum and Spatial Assignment
Abstract: Abstract: The Space Division Multiplexing (SDM) based Elastic Optical Networks (EONs) (SDM-bEONs) is the proposed solution to both, the required upgradation of the network’s capacity constrained by the non-linear Shannon’s limit and the provisioning needed for the future diverse Internet traffic’s required capacity. With SDM providing ‘space’ as an additional freedom degree, the assignment of resource (i.e., spectrum and space) in the SDM-b-EONs translates into the Routing, Modulation Format, Space, …
Published in Trends in Opto-electro & Optical Communication · Vol. 9, Issue 1, 2019 · pp. 1–23 Read article
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The Big Traveling Salesman and Mathematics At The Limits of Computation
Abstract: The travelling salesman problem (TSP) is a well-known problem in the field of operations research and has applications in many areas including manufacturing and production. This article is a small review of the book titled “In pursuit of the traveling salesman: mathematics at the limits of computation” written by William J. Cook published in 2012 by PRINCETON UNIVERSITY PRESS.
Published in Journal of Production Research & Management · Vol. 4, Issue 3, 2014 · pp. 23–25 Read article
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Dynamic Performance Enhancement of Polymer Composites through Metaheuristic machinining optimization
Abstract: This work aims to provide an optimization of meta-heuristic algorithms in order to improve the dynamic behavior of composite materials utilized in various practical engineering tasks. Based on the Comprehensive literature review it has been observed that composite sandwich panels with PVC foam cores accomplished mechanical characteristics superior than those ones that were produced on PU foam core mainly in flexural, compression, and impact tests Thus the study establishes the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 114–129 Read article
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A Cuckoo Search based Approach for Solving Standard Cell Placement Problem
Abstract: The standard cell placement (SCP) is an NP complete problem in VLSI layout which focuses on placing the cells at appropriate locations so as to minimize the resultant wirelength. The standard cell placement is one of the significant phases in VLSI circuit design. Many heuristic approaches have been developed in literature to solve this problem. The paper presents an efficient nature-inspired meta-heuristic algorithm for solving the standard cell placement problem …
Published in Journal of VLSI Design Tools and Technology · Vol. 4, Issue 2, 2014 · pp. 1–7 Read article
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Detection of Phishing Website Using URL
Abstract: Phishing attacks are one of the greatest threats to online security, where fraud websites deceive users into giving out sensitive information. Traditional methods of detection, such as blacklists and heuristic-based systems, often fail in identifying newly created or sophisticated phishing websites. This study proposes an intelligent phishing website detection system using Convolutional Neural Networks (CNNs) in analyzing URLs and associated features. Using labeled URLs, the system employs such attributes such …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 10–15 Read article
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Innovative Approaches to Reactive Power Management and Optimization in Modern Power systems
Abstract: Reactive power management and optimization are necessary for the effective, stable, and reliable working of modern power systems. Without proper management, reactive power is responsible for additional losses in transmission, reduced capability of power transfer, and poor voltage stability conditions, thus forming a basis for developing advanced techniques of optimization. This paper discusses the innovative methods in Reactive Power Optimization (RPO) using met heuristic algorithms, namely the Self-Balanced Differential Evolution …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 44–50 Read article
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Data Structure Driven Probabilistic Deadlock Resolution in Multiprocessor Systems
Abstract: Deadlock resolution in multiprocessor systems is fundamentally a graph-theoretic and probabilistic decision problem. Existing victim selection heuristics, such as youngest, oldest, and lowest priority, apply static rules that overlook the dynamic runtime state of processes, leading to unnecessary computational loss. This paper reframes the inference-guided preemption (IGP) algorithm as a data-structure-centric solution, highlighting how resource allocation graphs, wait-for graphs, adjacency lists, min-heaps, and hash-based evidence stores interact to enable efficient …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 11–20 Read article
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Reduction Of Total Electricity Generation Cost For Complicated Power Systems Considering Renewable Energy Sources By Using A Sea Horse Optimizer
Abstract: This paper focuses on solving the economic load dispatch (ELD) problem by incorporating the presence of wind and solar power plants alongside conventional thermal power plants (THs). Particle swarm optimization (PSO) and Sea horse optimizer (SHO) are applied to solve the problem with the main objective function of minimizing the total electricity generation cost (TEGC). SHO is a novel meta-heuristic method recently proposed, while PSO is one of the classical …
Published in Journal of Thermal Engineering and Applications · Vol. 9, Issue 3, 2022 · pp. 1–8 Read article
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Optimizing Sizes And Locations Of Wind Turbines In Ieee 33-Node Distribution System For Loss Reduction By Using Moutaint Gazelle Algorithm
Abstract: This study applies a novel meta-heuristic, called Moutaint gazelle algorithm (MGO) to determine the optimal sizes and locations of wind turbines to place in distribution networks for loss reduction. The IEEE 33-bus distribution system is a test system for conducting the whole study. The results obtained by MGO are compared to those obtained by another meta-heuristic algorithm, called Artificial Hummingbird Algorithm (AHA). The comparison between the two methods indicated that, …
Published in Journal of Thermal Engineering and Applications · Vol. 9, Issue 3, 2022 · pp. 16–23 Read article
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Isogeometric Topology Optimization of Continuum Structures using Evolutionary Algorithms
Abstract: Isogeometric analysis is a popular method for the analysis of problems involving complex geometry and governed by differential equations. Meta-heuristics are widely used to determine the optimum distribution of material within the given design domain. The focus of this study is to perform isogeometric topology optimization of continuum structures using meta-heuristics nature inspired firefly algorithm. NURBS basis functions are used to construct the geometric model and to calculate the displacements …
Published in Journal of Experimental & Applied Mechanics · Vol. 8, Issue 3, 2017 · pp. 8–18 Read article
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Impact of Time Multiplier Setting Range on Optimum Coordination of Directional Overcurrent Relays
Abstract: Over-current relays especially Inverse Definite Minimum Time (IDMT) relays are most commonly used protective device in the distribution system. It is vital that during abnormalities or faults, the IDMT relays must be capable to isolate only the faulty part of power system from the healthy system. The operating time of IDMT relays can be reduced with proper coordination between primary and backup relays by selecting optimum settings. Heuristic-based optimization techniques …
Published in Journal of Power Electronics and Power Systems · Vol. 4, Issue 3, 2014 · pp. 33–40 Read article
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Demand Forecasting for Seasonal Demand Patterns: Case Study of a Pharmaceutical Company
Abstract: In this paper the authors have developed a heuristic model that addresses demand forecasting for products those follow seasonal patterns. The model is checked against various renowned forecasting methods by comparing forecast errors. The proposed heuristic model is found to give better results than the Winters’ and other exponential models. Non-linear optimization is used to choose the values of smoothing parameters rather than depending on human judgment or experience. This …
Published in Journal of Production Research & Management · Vol. 4, Issue 3, 2014 · pp. 1–7 Read article
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Logic Optimization Algorithm based on Shannon’s Expansion: Reduction in Area, Power and Delay for Pass Gate Implementation
Abstract: The reduction in hardware requirement for any application does not only guarantee the reduction of chip area but also significantly reduces the corresponding power consumption and delays. Hence, any heuristic used to reduce the hardware requirement for given logic is always well justified. In this paper, the number of pass gates required to implement the given Boolean Logic is reduced by sizeable amount with use of the proposed algorithm for …
Published in Journal of VLSI Design Tools and Technology · Vol. 3, Issue 2, 2013 · pp. 24–34 Read article