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second scheduling » self scheduling (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search)
rd algorithm » _ algorithms (Expand Search)
complement » implement (Expand Search), complementary (Expand Search)
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Efficient methods and techniques for the open-shop scheduling problem. (c2006)
Published 2006Get full text
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masterThesis -
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CNN and HEVC Video Coding Features for Static Video Summarization
Published 2022Get full text
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Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters
Published 2021Get full text
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Dynamic Spectrum Scheduling and Management in Centralized Cognitive Radio Networks
Published 2017Get full text
doctoralThesis -
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Methods for system-on-chip test design, scheduling and optimization. (c2006)
Published 2006Get full text
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masterThesis -
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Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies
Published 2017Get full text
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Automatic Video Summarization Using HEVC and CNN Features
Published 2022Get full text
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Spectrum Sensing Algorithms for Cooperative Cognitive Radio Networks
Published 2010Get full text
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Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting
Published 2011Get full text
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Fixed set search applied to the multi-objective minimum weighted vertex cover problem
Published 2022“…One important characteristic of the proposed GRASP is that it avoids the use of weighted sums of objective functions in the local search and the greedy algorithm. In the second stage, the bi-objective GRASP is extended to the FSS by adding a learning mechanism adapted to multi-objective problems. …”
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A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem
Published 2021“…Due to the complex nature of the capacitated vehicle routingproblem, metaheuristic optimization algorithms are widely used for tackling this type of challenge.Coronavirus Herd Immunity Optimizer (CHIO) is a recent metaheuristic population-based algorithm thatmimics the COVID-19 herd immunity treatment strategy. …”
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Uplink Noma in UAV-Assisted IoT Networks
Published 2022“…Given the complexity of the problem and the incomplete knowledge about the environment, the problem is divided into two subproblems: the first models the UAV trajectory and the selection of the first device in the NOMA cluster at each time slot as a Markov Decision Process, and uses Proximal Policy Optimization to solve it. The second device is then selected using a heuristic algorithm based on prioritizing devices with higher bit rate requirements and strict deadlines. …”
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