PMT: Opposition-Based Learning Technique for Enhancing Meta-Heuristic Performance
IEEE Access, 2019 Meta-heuristic algorithms have shown promising performance in solving sophisticated real-world optimization problems. Nevertheless, many meta-heuristic algorithms are still suffering from a low convergence rate because of the poor balance between ...
Hammoudeh S. Alamri, Kamal Z. Zamli
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GP4ESP: a hybrid genetic algorithm and particle swarm optimization algorithm for edge server placement [PDF]
PeerJ Computer ScienceEdge computing has attracted wide attention due to its ultra-low latency services, as well as the prevalence of smart devices and intelligent applications.
Fang Han +4 more
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Practical System-on-Chip Repeater Design With Hybrid Meta-Heuristic Techniques
IEEE Access, 2018 This paper recommends a practical way to insert buffer and flop repeaters onto global signals of a complex system-on-chip (SoC). With the advent of deep sub-micrometer technology and new business environment, the market prefers a highly integrated SoC ...
Eng Keong Teh +3 more
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Meshless Search SR-STAP for Airborne Radar Based on Meta-Heuristic Algorithms. [PDF]
Sensors (Basel), 2023 Hou Y, Zhang Y, Gui W, Wang D, Dong W.
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Symmetry reduction and heuristic search for error detection in model checking [PDF]
, 2003 The state explosion problem is the main limitation of model checking. Symmetries in the system being verified can be exploited in order to avoid this problem by defining an equivalence (symmetry) relation on the states of the system, which induces a ...
Lluch-Lafuente, Alberto
core
, 2011 16 páginasA large number of real-life optimization problems in economics and business are complex and difficult to solve. Hence, using approximate algorithms is a very good alternative to solve this class of problems.
Solano-Charris E.L. +3 more
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A Survey of Nature-Inspired Meta-Heuristic Algorithms in Network Alignment [PDF]
Advances in Engineering and Intelligence SystemsNetwork alignment plays a pivotal role in fields such as network science, biology, and social network analysis by identifying common structures and relationships across different networks.
Anagh Awal, Farsuram Pandit
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Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review. [PDF]
Neural Process Lett, 2022 Kaveh M, Mesgari MS.
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Effective machine learning, Meta-heuristic algorithms and multi-criteria decision making to minimizing human resource turnover. [PDF]
Appl Intell (Dordr), 2023 Pourkhodabakhsh N +2 more
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