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217 articles for “constrained optimization”
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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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Parallel Genetic Algorithm for Fuel Bundle Burnup Optimization of Pressurized Heavy Water Reactor
Abstract: In this study, parallel genetic algorithm (GA) was applied to solve an optimization problem of nuclear fuel management pertaining to a 220 MWe pressurized heavy water reactor (PHWR). The study aims at finding appropriate values of reference discharge burnups of two zones of the reactor core which gives maximum fuel economy, while satisfying operational and safety-related constraints. This is a multiobjective optimization problem with four objectives and four constraints. Penalty …
Published in Journal of Nuclear Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 11–24 Read article
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The Principles and Applications of Structural Symmetry in Natural and Engineered Systems: A Comprehensive Review
Abstract: Structural symmetry is a fundamental constraint across scientific domains, dictating the stability, functionality, and efficiency of systems from the subatomic to the macroscopic. In physics and chemistry, symmetry is mathematically defined through Group Theory, specifically point groups (e.g., Cnv, Oh). These groups govern molecular orbital interactions; high-symmetry configurations, such as the icosahedral C60 fullerene, achieve optimal energy distribution and structural resilience. In Structural Biology, symmetry is an evolutionary strategy for …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 30–34 Read article
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A New Approach for Optimal Rating and Location of Substations
Abstract: This paper is based upon the software developed using genetic algorithm for optimal location of Sub-station regarding its place and size. Developed method is applied on practical network and the results obtained. In this paper an attempt has been made to solve the problem of the distribution network and developing an appropriate plan to trace the optimal location for placing new substation. A GA program has been developed and implemented …
Published in Journal of Power Electronics and Power Systems · Vol. 3, Issue 2, 2013 · pp. 1–7 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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GENETIC ALGORITHM BASED DESIGN OF A SIMPLY SUPPORTED REINFORCED CONCRETE BEAM
Abstract: This paper demonstrates an application of the genetic algorithms to the design of a simply supported reinforced concrete beam. Cost optimisation of reinforced concrete beam is carried out to get the most economical concrete section and the reinforcements at user specified intervals. Genetic algorithm is used to find out the depth, the number and diameter of bars and the diameter and spacing of stirrups. A program is created based on …
Published in Journal of Structural Engineering and Management · Vol. 2, Issue 3, 2015 · pp. 55–59 Read article
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Generative AI-Based Inverse Design of Sustainable Biodegradable Polymers with Target Mechanical and Thermal Properties
Abstract: The escalating global plastic pollution crisis has intensified the urgent need for sustainable biodegradable polymer alternatives that can match or exceed the performance of conventional petroleum-based plastics while minimizing environmental impact. However, traditional polymer discovery approaches are severely constrained by high experimental costs, protracted development cycles spanning years, and fundamental inability to simultaneously optimize multiple conflicting material properties such as mechanical strength, thermal stability, and degradation kinetics. This study presents …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1285–1295 Read article
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Optimization of Dynamic Load Carrying Capacity of Rolling Contact Bearing by Using TLBO Technique: A Review
Abstract: Rolling contact bearings are widely used in machinery. To deliver excellent performance, the rolling contact bearing has to work efficiently with constraints like strength, long life and high reliability. This work is to optimize the dynamic load carrying capacity of rolling contact bearing for efficient performance. Objective function is to maximize dynamic load carrying capacity with given parameters and constrains and Teaching-Learning Based Optimization (TLBO) technique is selected for the …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 3, 2015 · pp. 41–43 Read article
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Reward-Aligned Reinforcement Learning from Human Feedback for Emotion-Sensitive Large Language Model Therapists: Balancing Empathetic Engagement, Boundary Safety, and Clinical Accountability
Abstract: The deployment of large language models (LLMs) in mental health therapy contexts introduces a critical alignment challenge: these systems must simultaneously cultivate genuine empathic rapport, observe clinically grounded safety boundaries, and remain auditable under institutional accountability frameworks. Existing reinforcement learning from human feedback (RLHF) pipelines optimize for a scalar reward signal that is demonstrably insufficient for the multi-objective, temporally extended nature of therapeutic conversation. This paper presents RA-RLHF-T (Reward-Aligned RLHF …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 2, 2026 Read article
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Integrating Genetic Algorithms with Lean Manufacturing for Enhanced Production Efficiency
Abstract: Lean manufacturing is a well-established philosophy focusing on the systematic reduction of waste and the ongoing development of value supplied to the customer. It emphasizes efficiency, quality, and adaptability through ideas such as just-in-time production, continuous improvement (Kaizen), and value stream optimization. However, the increased complexity of modern production systems, driven by global rivalry, product variety, and rapid technology innovation, has shown the limitations of classic lean tools in achieving …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 38–43 Read article
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Artificial Intelligence–Assisted Reduced-Order Modeling and Stability Control in Granular Couette Flow
Abstract: This study develops a reduced-order and stability-aware modeling framework for dense granular Couette flow by integrating continuum mechanics, bifurcation analysis, and data-driven stability estimation. Starting from coupled governing equations for momentum, granular temperature, and microstructural evolution, the system is nondimensionalized and reduced using a Galerkin projection consistent with shear-driven boundary conditions. This yields a low-dimensional nonlinear dynamical system that preserves the essential coupling between velocity, fluctuation energy, and structural relaxation. …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 3, 2026 Read article
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A Study on Economic Dispatch Solution with Environmental Issue Using Genetic Algorithm
Abstract: This paper attempts to solve the problem of economic load dispatch (ELD) keeping in view the environmental issue of ever increasing pollution which leads to the various health issues. It is important to check and control the emission as well. Besides the classical ELD constraints, valve point loading effect and emission constraints are also considered and generators are scheduled for the most optimum solution. The researcher attempts to study the …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 10–16 Read article
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Impact of Partially Observable Markov Decision Process in Next Generation Satellite for Remote Sensing
Abstract: The integration of Partially Observable Markov Decision Processes (POMDPs) in next- generation satellite systems represents a transformative advancement in remote sensing technology. This article explores how POMDP frameworks address the inherent uncertainties and incomplete observability challenges in satellite operations, including dynamic task scheduling, resource allocation, and adaptive sensing strategies. By modeling satellite decision-making under uncertainty, POMDPs enable autonomous systems to optimize mission objectives while managing constraints such as limited power, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 20–28 Read article
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Efficient Approach for Optimal Location of Substations and Feeder Routing
Abstract: This paper is based upon the software developed using genetic algorithm and Kruskal’s algorithm for optimal location of substations and routing of feeders. The developed method is applied to the practical net work and the results obtained. Attempt has been made in this paper to find the optimal solution of distribution network and proper routing of the feeders. The programme has been developed and implemented on SAS Nagar, Mohali in …
Published in Trends in Electrical Engineering · Vol. 3, Issue 3, 2013 · pp. 22–28 Read article
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Enhanced Shell Script Optimization Techniques for Low-latency Automation in DevOps Environments
Abstract: Shell scripting remains a foundational component in system administration and DevOps automation, providing a straightforward yet powerful method for automating tasks, managing system configurations, and integrating seamlessly within continuous integration and continuous delivery (CI/CD) pipelines. These scripts serve as the backbone for many repetitive and complex tasks, enabling IT teams to execute workflows efficiently without manual intervention. As organizations continue to scale their infrastructure and adopt more complex architectures, the …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 1–5 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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Artificial Intelligence-Assisted Multi-Objective Optimization of Agricultural Biomass-Reinforced Polymer Composites
Abstract: Agricultural biomass can reduce the environmental burden of polymer composites, yet its heterogeneous structure creates competing effects on strength, moisture resistance, density, and process ability. This study developed an artificial intelligence-assisted framework for balanced composite formulation. Experimental data of agricultural biomass reinforced polymer composites were gathered, harmonized and validated using leakage-controlled validation. The mechanical and physical properties were predicted by artificial neural networks and conventional regression models. Explainable analysis gave …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 202–222 Read article
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Economic Efficient Dispatch Solution with Pollution Control Technique Using Genetic Algorithm
Abstract: In this paper, an attempt has been made to create a hybrid power system with the available sources of energy to generate power in most efficient, economical, emission-less and in a sustainable way. It is a continuation of the research article published in Trends in Electrical Engineering, 2016, volume 6, issue 1, 10–16p. It is important to utilize the renewable sources of power generation since the global power demand is …
Published in Trends in Electrical Engineering · Vol. 6, Issue 3, 2016 · pp. 32–43 Read article
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Time-Cost Trade-off and Constraint Resource Scheduling Considering Overtime for Activity Expedition
Abstract: Project cost, duration and resources are three important parameters of a construction project. There is always a trade-off between project time and cost. While a lot of techniques are available to optimize the project time and cost in normal conditions, less effort is done to optimize them in a resource constraint conditions. This paper is focusing on a nonlinear integer framework for time-cost trade-off (TCT) and constraint resource scheduling (RCS) …
Published in Recent Trends in Civil Engineering & Technology · Vol. 6, Issue 2, 2016 · pp. 30–36 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