Efficient multi-objective neural architecture search framework via policy gradient algorithm حسب Bo Lyu (16522643)

"…<p>Differentiable architecture search plays a prominent role in Neural Architecture Search (NAS) and exhibits preferable efficiency than traditional heuristic NAS methods, including those based on evolutionary algorithms (EA) and reinforcement learning (RL). …"

Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks حسب Yaacoub, Elias

"…Real-time video streaming over long-term evolution (LTE) networks is investigated in the presence of mobile-to-mobile collaboration. …"
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A fault-tolerant approach for the shortest path algorithm in large spectrum graphs. (c2007) حسب Fares, Joseph

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A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015) حسب Wehbe, Gioia Wahib

"…Aiming to tackle these obstacles, we have derived a new computational method in order to identify conserved regions of Single Nucleotide Polymorphisms (SNPs) on autosomal chromosomes that are differentiable in different populations. Our algorithm first performs a feature selection step to define differentiable SNPs. …"
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Improved scatter search algorithm for predicting all-atoms protein structures using charmm22 energy model. (c2010) حسب Ghalayini, Iman Adnan

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Scatter search for protein structure prediction. (c2008) حسب Kehyayan, Christine Houry

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Portfolio Selection Problem Using CVaR Risk Measures Equipped with DEA, PSO, and ICA Algorithms حسب Abdelouahed Hamdi (14158899)

"…Since the search space is vast in actual markets and there are limitations such as the number of assets and their weight, the optimization problem becomes difficult. Evolutionary algorithms are a powerful tool to deal with these difficulties. …"

Shape and sizing optimisation of space truss structures using a new cooperative coevolutionary-based algorithm حسب Dehkordi, Amin Abdollahi

"…This novel alternative optimisation strategy (CCMPA-GS) compared with 13 established genetic, evolutionary, swarm, and memetic meta-heuristic optimisation algorithms. …"
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Predicting Android Malware Using Evolution Networks حسب Chahine, Joy

"…This issue requires the development of efficient solutions in order to keep up with the continuous evolution of malware. With this aim, we introduce evolutionary networks, and particularly the Susceptible-Infectious-Susceptible (SIS) model, as a way to address the limitations of previous studies which are typically based on traditional machine learning models. …"
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Evolution Of Activation Functions for Neural Architecture Search حسب Nader, Andrew

"…In this work, we propose the use of a self-adaptive evolutionary algorithm that searches for new activation functions using a genetic programming approach, and we compare the performance of the obtained activation functions to ReLU. …"
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Hybrid Cooperative Co-evolution for Large Scale Optimization حسب El-Abd, Mohammed

"…In this paper, we propose the idea of hybrid cooperative co-evolution (hCC). In CC, multiple instances of the same evolutionary algorithm work in parallel, each optimizes a different subset of the problem in hand. …"
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Logarithmic spiral search based arithmetic optimization algorithm with selective mechanism and its application to functional electrical stimulation system control حسب Abu Zitar, Raed

"…A biomedical application of a novel metaheuristic optimizer is proposed in this paper by constructing an enhanced arithmetic optimization algorithm (AOA). The latter algorithm was constructed using the logarithmic spiral (Ls) search mechanism from the whale optimization algorithm and the greedy selection scheme from the differential evolution algorithm. …"

Hybrid Cooperative Co-evolution for the CEC15 Benchmarks حسب El-Abd, Mohammed

"…In its second stage, the method adopts different algorithms within the cooperative co-evolution (CC) framework to simultaneously optimize the generated groups. …"
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Digital circuit design through simulated evolution (SimE) حسب Sait, Sadiq M.

"…In this paper, the use of simulated evolution (SimE) algorithm in the design of digital logic circuits is proposed. …"
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Evaluating Parallel Simulated Evolution Strategies for VLSI Cell Placement حسب Sait, Sadiq M.

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Cooperative Co-evolution using LSHADE with Restarts For The CEC15 Benchmarks حسب El-Abd, Mohammed

"…In this paper, we test the performance of an LSHADE Cooperative Co-evolutionary (CC) algorithm using the CEC15 benchmarks. …"
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Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy حسب Haitao Xu (435549)

"…The complex gas hydrate prevention unit is simulated using the MLPNN model trained by 20 different optimization algorithms. This study investigates the gradient-based, evolutionary, and Bayesian-based optimization algorithms. …"

Simulated evolution for timing and low power VLSI standard cell placement حسب Sait, Sadiq M.

"…Abstract This paper presents a Fuzzy Simulated Evolution algorithm for VLSI standard cell placement with the objective of minimizing power, delay and area. …"
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Fuzzy simulated evolution for power and performance optimization ofVLSI placement حسب Sait, Sadiq M.

"…In this paper, an algorithm for VLSI standard cell placement for low power and high performance design is presented. …"
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A simulated evolution approach to task-matching and scheduling in heterogeneous computing environments حسب Barada, Hassan

"…The performance of SE is compared with a genetic algorithm approach for the same problem with respect to the quality of solutions generated, and timing requirements of the algorithms. r 2003 Elsevier Science Ltd. …"
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