Results 41 to 50 of about 256,802 (314)
Optimal FOC-PID Parameters of BLDC Motor System Control Using Parallel PM-PSO Optimization Technique
International Journal of Computational Intelligence Systems, 2021 This paper proposes a parallelization method for meta-heuristic particle swarm optimization algorithm to obtain a convincingly fast execution and stable global solution result.
Nguyen Tien Dat +2 more
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Portfolio rebalancing under uncertainty using meta-heuristic algorithm [PDF]
International Journal of Operational Research, 2019 In this paper, we solve portfolio rebalancing problem when security returns are represented by uncertain variables considering transaction costs. The performance of the proposed model is studied using constant-proportion portfolio insurance (CPPI) as rebalancing strategy.
Zandieh, Mostafa, Mohaddesi, Seyed Omid
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IEEE Access, 2020 The energy consumption issue of large-scale data centers is attracting more and more attention. Virtual machine consolidation can significantly reduce energy consumption by migrating virtual machines from one physical machine to another.
Fagui Liu +3 more
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IEEE Access, 2019 Meta-heuristic algorithm has been a research hotspot in solving the optimal solution of large-scale functions. However, meta-heuristic algorithms are prone to fall into local optimum problems, such as the recently proposed dolphin swarm algorithm (DSA ...
Weibiao Qiao, Zhe Yang
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IEEE Access, 2020 Feature Selection (FS) is an important pre-processing step in the fields of machine learning and data mining, which has a major impact on the performance of the corresponding learning models.
Shameem Ahmed +4 more
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Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework [PDF]
, 2018 Simplicity and flexibility of meta-heuristic optimization algorithms have attracted lots of attention in the field of optimization. Different optimization methods, however, hold algorithm-specific strengths and limitations, and selecting the best ...
AghaKouchak, A +7 more
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Sensors, 2015 Reducing energy consumption is becoming very important in order to keep battery life and lower overall operational costs for heterogeneous real-time multiprocessor systems. In this paper, we first formulate this as a combinatorial optimization problem.
Weizhe Zhang +3 more
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A Search-Based Test Data Generation Method for Concurrent Programs
International Journal of Computational Intelligence Systems, 2020 Concurrent programs are being widely adopted in development of multi-core and many-core processors. However, these types of programs present some features such as concurrency, communication and synchronization which make their testing more challenging ...
Seyed Mohsen Mirhosseini +1 more
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Training a Feed-forward Neural Network with Artificial Bee Colony Based Backpropagation Method
, 2012 Back-propagation algorithm is one of the most widely used and popular techniques to optimize the feed forward neural network training. Nature inspired meta-heuristic algorithms also provide derivative-free solution to optimize complex problem. Artificial
Das, Achintya +2 more
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Using a unified measure function for heuristics, discretization, and rule quality evaluation in Ant-Miner [PDF]
, 2013 Ant-Miner is a classification rule discovery algorithm that is based on Ant Colony Optimization (ACO) meta-heuristic. cAnt-Miner is the extended version of the algorithm that handles continuous attributes on-the-fly during the rule construction process ...
Otero, Fernando E.B., Salama, Khalid M.
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