... is executed in MATLAB/Simulink site, and the performance is compared with different existing methods like particle swarm optimization algorithm and hill climb searching technique. Then the output illustrates the performance of the proposed method and confirms its capability to solve issues. In uneven rate...

...Reza Noorian Talouki; Mirsaeid Hosseini Shirvani; Homayun Motameni Purpose Improvement of workflow scheduling in distributed engineering systems Design/methodology/approach The authors proposed a hybrid meta heuristic optimization algorithm. Findings The authors have made improvement...

... highway cracks and testing the accuracy using three optimization algorithms at different learning rates. Findings The accuracies result of the four deep learning pre-trained models are above the averages between top-1 and top-5 and the accuracy of classifying and detecting the samples exceeded the top...

... Control systems Optimization algorithms FOPID State feedback gain Three controller parameters Time-delay system Reliability constraints and small overruns RDFA = Random Decision Forest Algorithm; ACFO = Advanced Cuttlefish Optimizer; ACORDF = Advanced Cuttlefish Optimizer...

... Planning Operational research Modelling Genetic algorithms Optimization algorithms Production Scheduling Mono criteria Integrated approach HSAGA Simulated annealing Over the past three decades, industries are more interested in production system. A key aspect of the industries...

... at: ekhorshid@gmail.com 29 03 2017 17 12 2017 25 01 2018 © Emerald Publishing Limited 2018 Emerald Publishing Limited Licensed re-use rights only Optimization algorithms Mechanical design Computational decision support Inconsistency detection Constraint theory Global...

... Group Publishing Limited 2015 Design Implementing Managing and practicing innovation Optimization algorithms Mechanical design Modelling Multi-objective/attribute decision-making Design strategies This work illustrates the use of lexicographic optimization and demonstrates how...

... enhance the global searching ability of the particles when trapped into a local minimum. Artificial intelligence Optimization algorithms Optimization and system/network identification Particle swarm optimization (PSO) was proposed by Kennedy and Eberhart (1995) . The PSO...