Adaptive evolutionary programming with p-best mutation strategy by Das, Swagatam., Mallipeddi, Rammohan., Maity, Dipankar.

“…Although initially conceived for evolving finite state machines, Evolutionary Programming (EP), in its present form, is largely used as a powerful real parameter optimizer. …”
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Twofold Addressing of Microinstructions in CMCU with Common Memory by A. Barkalov, L. Titarenko, O. Golovin, A. Matvienko

“…As a rule, to synthesize CUs, the models of Mealy and Moore finite state machines (FSMs) are used. The article is devoted to compositional microprogram control units (CMCUs). …”
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Optimization of a Moore Automaton Circuit in a Mixed Element Basis by Alexander Barkalov, Larysa Titarenko, Oleksandr Golovin, Oleksandr Matvienko

“…To represent the law of functioning of a control unit, the models of the Moore and Mealy finite state machines (FSM) are used. When synthesizing circuits of FSMs, it is necessary to solve a number of optimization problems, such as the reducing hardware amount, increasing performance, minimizing power consumption, joint optimization of hardware-temporal characteristics. …”
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Coding approaches to fault tolerance in dynamic systems by Hadjicostis, Christoforos N. (Christoforos Nikos)

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Does big data serve policy? Not without context. An experiment with in silico social science by Graziul, Chris, Belikov, Alexander, Chattopadyay, Ishanu, Chen, Ziwen, Fang, Hongbo, Girdhar, Anuraag, Jia, Xiaoshuang, Krafft, P. M., Kleiman-Weiner, Max, Lewis, Candice, Liang, Chen, Muchovej, John, Vientós, Alejandro

“…Fourth, most singular quantitative methods applied on their own did not help to solve most analytical challenges, and we explored a range of established and emerging methods, including probabilistic programming, deep neural networks, systems of predictive probabilistic finite state machines, and more to achieve plausible solutions. …”
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Interconnect modeling and optimization in deep sub-micron technologies by Sotiriadis, Paul Peter P. (Paul Peter Peter-Paul), 1973-

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