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auction algorithm » detection algorithm (Expand Search)
action algorithm » detection algorithm (Expand Search), colony algorithm (Expand Search)
auction algorithm » detection algorithm (Expand Search)
action algorithm » detection algorithm (Expand Search), colony algorithm (Expand Search)
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Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm
Published 2023“…The results show an optimum resource allocation with an information-based cost function that is optimized by an Auction Algorithm.…”
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Fast synergy approximation in transportation procurement with combinatorial auctions
Published 2023“…The algorithms are validated on a real-life application and our results emphasized their superiority compared to previous studies.…”
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A combinatorial auction‐based approach for ridesharing in a student transportation system
Published 2023“…The mathematical model is based on the vehicle routing problem along with appropriate constraints accommodating features that express the auction clearing phase. A hybrid heuristic-based optimization framework, that takes advantage of meta-heuristic algorithms to improve an initial solution, is also developed to solve large-sized instances of the problem. …”
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An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure
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Evolutionary Game-Based Battery Scheduling: A Comparative Study for Prosumers in Smart Grids
Published 2025Subjects: -
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Animal migration optimization algorithm: novel optimizer, analysis, and applications
Published 2024“…It is based on the animal actions and habits in migration seasons. Optimization algorithms are applied to find the optimal solutions in many domains and fields such as image processing, machine learning, and others. …”
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A discrete-time stochastic iterative learning control algorithm for a class of nonlinear systems
Published 2005“…This article presents a stochastic algorithm that computes the learning gain matrix of a “D-type iterative learning control (ILC) algorithm for a class of discrete-time varying nonlinear systems with linear input/output actions having relative degree one. …”
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Robustness and convergence rate of a discrete‐time learning control algorithm for a class of nonlinear systems
Published 1999“…In this paper, we apply a discrete‐time learning algorithm to a class of discrete‐time varying nonlinear systems with affine input action and linear output having relative degree one. …”
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Optimum Partition of Power Networks Using Singular Value Decomposition and Affinity Propagation
Published 2024“…An Affinity Propagation clustering algorithm-based PGP is tailored for automatically forming highly interconnected clusters based on pairwise similarities without requiring a predefined number of partitions. …”
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A heuristics for HTTP traffic identification in measuring user dissimilarity
Published 2020“…The study utilizes HTTP request method of GET filtering, to develop a heuristic algorithm to identify user-initiated requests. The algorithm was experimentally tested on a group of users, to ascertain the certainty of identifying user-initiated requests. …”
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Navigating the Landscape of Deep Reinforcement Learning for Power System Stability Control: A Review
Published 2023“…This review aims to support research in this area of DRL algorithms to embrace PSS against unseen faults and different PS topologies.…”
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Regression testing web services-based applications
Published 2006“…Moreover, modifications handled by the algorithm are classified into three classes: (a) adding an operation, (b) deleting an operation, (c) fixing a condition or an action. …”
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Integrating Quality And Maintenance Decisions In A Production- Inventory Model For Deteriorating Items
Published 2020“…A heuristic solution algorithm is developed to determine the production and inspection schedules, and a numerical example is solved.…”
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An efficient claim management assurance system using EPC contract based on improved monarch butterfly optimization models
Published 2024“…The basic methodology of this research involves integrating EPC and claim management principles with the IMBOA algorithm to create an efficient, high-quality system. …”
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