Results 41 to 50 of about 97,422 (235)
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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A Meta-Heuristic Load Balancer for Cloud Computing Systems [PDF]
, 2015 This paper introduces a strategy to allocate services on a cloud system without overloading the nodes and maintaining the system stability with minimum cost.
Getov, Vladimir +3 more
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Efficiency of Meta Heuristic Optimization Algorithms
International Journal of Advanced Research in Science, Communication and Technology, 2022 A meta-heuristic is a lot of algorithmic ideas that can be utilized to characterize heuristic strategies material to a wide arrangement of various issues. – A Meta heuristic can be viewed as a general broadly useful heuristic technique toward promising locales of the search space containing top notch arrangements.
null Divvela Srinivasa Rao +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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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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Manufacturing Review, 2014 In this paper, a hybrid flow shop scheduling problem with a new approach considering time lags and sequence-dependent setup time in realistic situations is presented.
Farahmand-Mehr Mohammad +4 more
doaj +1 more source
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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A Hybrid Meta-Heuristic Algorithm based on Imperialist Competition Algorithm
Journal of Artificial Intelligence and Data Mining, 2016 The human has always been to find the best in all things. This Perfectionism has led to the creation of optimization methods. The goal of optimization is to determine the variables and find the best acceptable answer Due to the limitations of the problem, So that the objective function is minimum or maximum.
Roustaei, R., Yousefi Fakhr, F.
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BAT-BP: A new BAT based back-propagation algorithm for efficient data classification [PDF]
, 2016 Training neural networks particularly back propagation algorithm is a complex task of great importance in the field of supervised learning. One of the nature inspired meta-heuristic Bat algorithm is becoming a popular method in solving many complex ...
Hafifi, Nurfarian +4 more
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