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A Parallel Genetic Algorithm for the Geometrically Constrained Site Layout Problem with Unequal-Size Facilities
Published 2010“…This paper presents a parallel genetic algorithm to solve the site layout problem with unequal-size and constrained facilities. …”
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A Novel Genetic Trajectory Planning Algorithm With Variable Population Size for Multi-UAV-Assisted Mobile Edge Computing System
Published 2021“…In the first phase, a genetic algorithm (GA) with a variable population size is used to update the deployment of SPs. …”
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Integrated economic and environmental models for a multi stage cold supply chain under carbon tax regulation
Published 2017“…This paper assesses the impact of accounting for carbon emissions, resulting from transportation and storage activities of a cold item, in the context of a multi stage supply chain comprised of a plant/warehouse, a distribution center (DC) and a retailer. We present an operational cost minimization model, a carbon footprint minimization model and a hybrid economic and environmental minimization model where all models seek to determine the optimal lot sizing and shipping quantities, alongside the number of trucks to be used in the upstream and downstream directions of the supply chain as well as the number of freezer units utilized at the DC which is owned by a third party logistics provider. …”
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Test bus assignment, sizing, and partitioning for system-on-chip
Published 2007“…In this paper, an efficient genetic algorithm for designing test access architectures while investigating test bus sizing and concurrently assigning cores to test buses is proposed. …”
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A method for optimizing test bus assignment and sizing for system-on-a-chip
Published 2017“…In this paper, we propose an efficient genetic algorithm to design test access architectures while investigating test bus sizing and assignment of cores to test buses in the system. …”
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A kernelization algorithm for d-Hitting Set
Published 2010“…In this paper, a kernelization algorithm for the 3-Hitting Set problem is presented along with a general kernelization for d -Hitting Set. …”
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Metaheuristic Algorithm for State-Based Software Testing
Published 2018“…This article presents a metaheuristic algorithm for testing software, especially web applications, which can be modeled as a state transition diagram. …”
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Natural optimization algorithms for optimal regression testing
Published 1997“…The optimal regression testing problem is that of determining the minimum number of test cases needed for revalidating modified software in the maintenance phase. The present two natural optimization algorithms, namely simulated annealing and genetic algorithms, for solving this problem. …”
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A Closed Queueing Networks Approach for an Optimal Heterogeneous Fleet Size of an Inter-Facility Bulk Material Transfer System
Published 2024“…<div><p>Background: This study addresses optimising fleet size in a system with a heterogeneous truck fleet, aiming to minimise transportation costs in interfacility material transfer operations. …”
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A direct algorithm for the parameterized face cover problem
Published 2017“…The main contribution of this paper is a direct and relatively simple O(5kn) face cover branching algorithm. A direct O(n2) face cover kernelization algorithm is also presented.…”
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Timing driven genetic algorithm for standard-cell placement
Published 1995“…In this paper we present a timing-driven placer for standard-cell IC design. …”
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A new approach to record clustering for large databases. (c1997)
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A genetic algorithm for corrective retesting. (c1995)
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Simulated Annealing and Genetic Algorithms for Optimal Regression Testing
Published 1999“…The optimal regression testing problem is one of determining the minimum number of test cases needed for revalidating modified software in the maintenance phase. We present two natural optimization algorithms, namely, a simulated annealing and a genetic algorithm, for solving this problem. …”
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Natural optimization algorithms for the cross-dock door assignment problem
Published 2016“…The purpose of this paper is to present a novel algorithm that minimizes the traveling distance of the handling machines when moving cargo from an inbound truck to an outbound truck. …”
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A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models
Published 2010“…In this work, we present a genetic algorithm to optimize predictive models used to estimate software quality characteristics. …”
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Efficient methods and techniques for the open-shop scheduling problem. (c2006)
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Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment
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