بدائل البحث:
lower optimization » level optimization (توسيع البحث), motor optimization (توسيع البحث), global optimization (توسيع البحث)
lower optimization » level optimization (توسيع البحث), motor optimization (توسيع البحث), global optimization (توسيع البحث)
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181
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182
EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach
منشور في 2019"…To reduce the feature dimensionality, spatial, and temporal based, bag of deep features (BoDF) model is proposed. …"
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183
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184
An Artificial Neural Network for Online Tuning of Genetic Algorithm Based PI Controller for Interior Permanent Magnet Synchronous Motor–Drive
منشور في 2006"…An artificial neural network (ANN) for online tuning of a genetic algorithm based PI controller for interior permanent magnet synchronous motor (IPMSM) drive is presented in this paper. …"
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185
Minimizing using BBO and DFO methods
منشور في 2022"…In [1], Nour and Zeidan proposed a numerical algorithm to solve optimal control problems involving sweeping processes. …"
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masterThesis -
186
Elk herd optimizer
منشور في 2024"…This paper proposes a novel nature-inspired swarm-based optimization algorithm called elk herd optimizer (EHO). …"
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187
Optimal design of power-system stabilizers using particle swarm optimization
منشور في 2002"…In this paper, a novel evolutionary algorithm-based approach to optimal design of multimachine power-system stabilizers (PSSs) is proposed. …"
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188
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189
The survey of cluster based data collection process for iot enabled wireless sensor network using several optimization technique
منشور في 2025"…The study analyses nature-based metaheuristic methods such as the Genetic Algorithms, Particle Swarm Optimization, Firefly Optimization, Gray Wolf Optimization and Water-Cycle Algorithms, and specialised protocols of clustering, routing and data aggregation. …"
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190
An Enhanced Binary Rat Swarm Optimizer based on Local-best Concepts of PSO and Collaborative Crossover Operators for Feature Selection
منشور في 2022"…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …"
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191
Stochastic evolution algorithm for technology mapping
منشور في 1998"…SELF-Map is based on the Stochastic Evolution (SE) algorithm. …"
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192
Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning
منشور في 2006"…In this paper, we engineer three iterative heuristics for the optimization of VLSI netlist bi-Partitioning. These heuristics are based on Genetic Algorithms (GAs), Tabu Search (TS) and Simulated Evolution (SimE). …"
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193
An evolutionary algorithm for network topology design
منشور في 2001"…We present an approach based on a simulated evolution algorithm for design of a campus network topology. …"
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194
An improved Dragonfly Algorithm for feature selection
منشور في 2020"…Dragonfly Algorithm (DA) is a recent swarm-based optimization method that imitates the hunting and migration mechanisms of idealized dragonflies. …"
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195
Exam scheduling algorithms. (c1999)
منشور في 1999احصل على النص الكامل
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masterThesis -
196
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197
Scalable Parallel Algorithms for FPT Problems
منشور في 2006"…Algorithmic methods based on the theory of fixed-parameter tractability are combined with powerful computational platforms to launch systematic attacks on combinatorial problems of significance. …"
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198
A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks
منشور في 2022"…The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. …"
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199
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200
A clustering metaheuristic for large orienteering problems
منشور في 2022"…The metaheuristic starts by decomposing the problem into smaller, independent sub-problems that are efficiently solved using an algorithm of choice, sequentially or in parallel. The obtained solutions are then merged to form a solution for the original problem, and then further optimized and processed to ensure feasibility. …"