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461
Designing Cellular Mobile Networks Using Non{Deterministic Iterative Heuristics
منشور في 2020"…Hence, a randomized, heuristic algorithm, such as Simulated Evolution is used in this work to optimize the transmission costs in cellular networks. …"
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article -
462
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463
Energy-Aware Physical Synthesis of Deep Neural Networks for Edge-AI Applications in Robotics and VLSI Systems
منشور في 2025"…Energy-aware physical synthesis is essential for deploying deep neural networks (DNNs) in edge-AI applications for robotics and VLSI systems, where stringent power, area, and latency constraints prevail. Beyond algorithm-and software-level optimizations such as network compression and compiler techniques, the physical effects during VLSI imple-mentation including clock tree synthesis (CTS), routing congestion, IR-drop, cell sizing, and placement significantly influence energy consumption and timing closure. …"
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article -
464
Design and simulation of superdirective adaptive antenna arrays
منشور في 1990"…With this technique, the characteristics of the adaptive superdirective array can be held almost constant over a wide scan-angle range. These characteristics were made possible by means of both amplitude and phase variations, based on predetermined optimized array polynomials. …"
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465
Scatter search technique for exam timetabling
منشور في 2011"…We evaluate our suggested technique on real-world university data and compare our results with the registrar’s manual timetable in addition to the timetables of other heuristic optimization algorithms. The experimental results show that our adapted scatter search technique generates better timetables than those produced by the registrar, manually, and by other meta-heuristics.…"
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article -
466
Design and development of an embedded controller for roboticmanipulator
منشور في 1998"…Since the manipulator speed is limited by the mechanical constraints of the robot arm, the system's throughout should be optimized for generation of the required control law based on the data received from the robot's position sensors. …"
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article -
467
Dynamic Layout Planning Using a Hybrid Incremental Solution Method
منشور في 1999"…Construction resources, represented as rectangles, are subjected to two-dimensional geometric constraints on relative locations. The objective is to allow site space to all resources so that no spatial conflicts arise, while keeping distance-based adjacency and relocation costs minimal. …"
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article -
468
MoveSchedule
منشور في 1995"…The layout construction algorithm that underlies MoveSchedule uses Constraint Satisfaction to find the set of all positions that meet the constraints on resources' positions and Linear Programming to find the optimal positions that minimize resource transportation and relocation costs. …"
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masterThesis -
469
Simulated evolution for timing and low power VLSI standard cell placement
منشور في 2020"…For this hard multiobjective combinatorial optimization problem, no known exact and efficient algorithms exist that guarantee finding a solution of specific or desirable quality. …"
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470
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471
Shuffled Linear Regression with Erroneous Observations
منشور في 2019"…We propose an optimal recursive algorithm that updates the estimate from the underdetermined function that is based on that permutation-invariant constraint. …"
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conferenceObject -
472
User-centric strategies for resource management in heterogeneous wireless networks with QoS considerations
منشور في 2017"…Due to the complexity of the problem, we design sub-optimal hierarchical tree-based algorithms for real-time operation taking into account realistic constraints. …"
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masterThesis -
473
Query acceleration in distributed database systems
منشور في 2001"…Many techniques and algorithms have been proposed to optimize queries. Perhaps one of the more important algorithms is the AHY algorithm using semi-joins that is implemented by Apers, Hevner and Yao in [1]. …"
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article -
474
Vibration suppression in a cantilever beam using a string-type vibration absorber
منشور في 2017"…Fine tuning is done in the second optimization step, by choosing an appropriate damping constant to further improve the design. …"
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conferenceObject -
475
Boosting the Training of Neural Networks Through Hybrid Metaheuristics
منشور في 2022"…In this paper, six versions of memetic algorithms (MAs) are proposed to replace gradient descent learning mechanism of MLP where adaptive β�-hill climbing (Aβ�HC) as a local search algorithm is hybridized with six population-based metaheuristics which are hybrid flower pollination algorithm, hybrid salp swarm algorithm, hybrid crow search algorithm, hybrid grey wolf optimization (HGWO), hybrid particle swarm optimization, and hybrid JAYA algorithm. …"
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476
A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks
منشور في 2025"…<p>The energy internet (EI) is evolving toward decentralized, data-rich, and time-critical operation, where legacy optimization often fails to meet complexity, scalability, and real-time constraints. …"
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477
A METHODOLOGY FOR NETWORK TOPOLOGY DESIGN USING FUZZY EVALUATIONS
منشور في 2020"…In this paper, we present a methodology to address design issues. This methodology is based on two algorithms, namely, fuzzy simulated evolution algorithm and the augmenting path algorithm. …"
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article -
478
A linear programming approach for the weighted graph matchingproblem
منشور في 1993"…A linear program is obtained by formulating the graph matching problem in L1 norm and then transforming the resulting quadratic optimization problem to a linear one. The linear program is solved using a simplex-based algorithm. …"
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article -
479
Energy-Efficient VoI-Aware UAV-Assisted Data Collection in Wireless Sensor Networks
منشور في 2025"…In the second, we consider optimized UAV position adaptation where we generated the problem as a multi-objective optimization problem and solved it as a mixed-integer linear programming problem with constraints related to UAV range, UAV steps, and time constraints. …"
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masterThesis -
480
GENETIC SCHEDULING OF TASK GRAPHS
منشور في 2020"…The problem of assigning tasks to processing elements as a combinatorital optimization is formulated, and a heuristic based on a genetic algorithm is presented. …"
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article