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20 articles for “Meta-heuristics”
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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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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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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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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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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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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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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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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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Metaheuristic Design of Epoxy-Based Polymer Composites
Abstract: This research investigates the optimization of epoxy resin based polymer compositions in composite materials to enhance their mechanical and tribological properties for industrial applications. We examined the properties of composite materials by running experiments and optimizing these results using Firefly and five optimization algorithms to find the best steel and epoxy ratios. Our tests confirmed that higher dosages of steel powder increased materials' resistance to breaking and impacts yet lowered …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 769–791 Read article
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Integrated Explainable Forecasting and Metaheuristic PI Optimization for LFC/AGC
Abstract: Since the last decade world has seen a paradigm shift towards alternate sources of energy, due to significant increase in population and ever-rising demand. However, the traditional systems were not designed to cope with these alternate sources and on the other hand these systems are posed with the challenges of efficiency and intermittency. So, it is inevitable that we need to design a system wherein forecasting data has to be …
Published in Trends in Electrical Engineering · Vol. 16, Issue 2, 2025 · pp. 26–32 Read article
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Evolutionary Optimization in MPS: A Brief Review
Abstract: Master production scheduling (MPS) is a combinatorial optimization problem that arises frequently in real-life applications. Because of the complexity and the vast search space, conventional optimization methods such as mathematical programming, dynamic programming and branch-and-bound technique are computationally infeasible. Evolutionary approach-based meta-heuristics have gained prominence in recent years for solving multi-objective optimization problems (MOP). Multi-objective evolutionary approaches (MOEAs) have substantial success across a variety of real-world engineering applications. The present …
Published in Journal of Production Research & Management · Vol. 4, Issue 1, 2014 · pp. 13–21 Read article
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The application of the Jellyfish search algorithm for solving Modified economic load dispatch under the consideration of prohibited operation zones, varied load demand, and renewable energy sources
Abstract: In this research, an expanded version of the original economic load dispatch problem (EELD) is concerned to optimize operation of power plants in power systems. While solving the problem, the power supplied from solar energy is considered in addition to the conventional thermal power plants. The main objective function of the research is to minimize the entire electricity generating cost (EEGC) of all thermal power plants in the systems. On …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 3, 2022 · pp. 12–18 Read article
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Power System Stabilizer Design based on Honey-Bee Mating Optimization Algorithm
Abstract: Power system stability is one of the main factors in performance of electrical system. A control system must retain frequency and voltage size under any distortion such as sudden increase in load, to leave a generator from circuit or cut off a transmission line in a constant level. In this paper, Honey-bee mating optimization (HBMO) algorithm has been used to design power system stabilizer. It is based on the mating …
Published in Trends in Electrical Engineering · Vol. 4, Issue 3, 2014 · pp. 18–25 Read article
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Revolutionizing Urban Traffic Management: An AI and Multi-Agent System Approach Leveraging IoT Technology
Abstract: Our study addresses the challenging issue of traffic congestion in modern urban areas and the limitations of traditional solutions like road expansion and network indicators. To effectively tackle traffic congestion, the study explores various strategies that analyze traffic elements, falling into the Macroscopic and Microscopic Models. However, conventional traffic modeling faces significant challenges in dealing with complex traffic systems.Artificial Intelligence (AI) techniques, including fuzzy logic, evolutionary algorithms, neural networks, and …
Published in Trends in Transport Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 1–8 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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Numerical Simulation of Energy Efficient Routing Protocol in Wireless Sensor Network Using Optimized LEACH
Abstract: Wireless sensor systems consist of, for instance, independent sensors used to measure temperature, humidity, and physical and environmental conditions spatially distributed. These sensors transmit data to a dish. Due to the huge ability of sensor network to link the physical world to the vertical world, the popularity of the wireless sensor networks (WSNs) has enormously increased. Becoming a repetitive job since those devices rely on battery power and can be …
Published in Journal Of Network security · Vol. 9, Issue 1, 2021 · pp. 48–56 Read article
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Experimental Investigation and Optimization of Machining Parameters for Al6351 Alloy Using a Modified Taguchi Approach
Abstract: Machining processes encompass both conventional and non-conventional techniques and optimizing machining parameters is crucial for achieving high-quality outcomes. However, simplifying these processes remains a significant challenge. This study focuses on determining the optimal machining parameters—cutting speed, feed rate, and depth-of-cut to enhance performance characteristics in Al6351 alloy plates. The parameters evaluated include surface roughness (Ra), material removal rate (MRR), resultant forces (RF), and temperature at the tool- workpiece interface (Temp). …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1463–1481 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
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Optimal PMU Placement in Power Systems Using Graph Theory and PSAT
Abstract: Phasor measurement units (PMUs) play a vital role in modern power systems by delivering synchronized, real-time measurements. These devices enhance system reliability by supporting functions such as monitoring, protection, and control. By accurately capturing voltage and current phasors across different locations, PMUs enable better situational awareness and more effective decision-making in grid operations and management. Determining the optimal location of PMUs is essential to ensure system observability, reduce installation costs, …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 26–32 Read article
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Parallel Greedy Approach for Phylogenetic Tree Construction in the Context of Marine Species
Abstract: The rebuilding of phylogenetic trees for marine species shows major computing problems because of the massive genomic data and the huge biodiversity inherent in ocean ecosystems. Traditional phylogenetic methods are accurate but become more expensive when they are processing with thousands of marine taxa parallelly. This article shows a critical analysis of parallel greedy algorithms as an adaptable solution for large-scale marine phylogenetics. It examines the main principles of greedy …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 33–45 Read article