A novel theoretical formulation of the input encoding problem is presented, based on concept compatibility dichotomies. The shown to be equivalent a two-level logic minimization. Three possible techniques solve are discussed, on: borrowed from classical minimization (generation prime dichotomies and solving covering problem); graph coloring applied incompatibility dichotomies; extraction essential followed by coloring. serves same purpose as implicants in minimization, sense that it reduces...

Identifying the parameters of solar photovoltaic (PV) cell models accurately and reliably is crucial for simulating, evaluating, controlling PV systems. For this reason, we present an improved chimp optimization algorithm (IChOA) generation precise reliable models. As a new version standard (ChOA), IChOA embeds two mutation rules in ChOA that include elite opposition-based learning visual search mechanism. The first rule applied to strengthen global exploration capacity ChOA, second one...

An efficient method for PLA decomposition, in which a single two-level Boolean function (PLA) is decomposed into two stages of cascaded PLAs such that the total area all smaller than original PLA, presented. The first stage may contain an arbitrary number (generalized decoders), and second contains PLA. Primary inputs are partitioned disjoint sets input variables represented as multiple-valued so to minimize area. Two algorithms assignment individual decoders presented, one based on integer...

A method for the minimization of multiple-valued input Boolean functions is presented. It based on reduction logic problem to graph coloring, applied incompatibility implicants. In this approach, two NP-complete problems encountered in functions, i.e. generation prime implicants and covering problem, are reduced a single, better understood, coloring problem. special type implicants, called minimally split product generated from an arbitrary set cubes that allow optimum results be obtained....

Efficient and stable catalysis has always been a fundamental concept in enzyme-catalyzed industrial processes. However, the poor stability of laccase hindered its application industry. The conventional methods immobilization have proven to be ineffective achieving both enhancement maintenance high activity simultaneously. To address this challenge, we constructed magnetic core–shell structured metal–organic framework doped with copper ions (MCIL@Cu-UiO-66-NH2), which leverage synergistic...

In some real-world applications, multiple measuring methods are often employed to extract feature groups of data, yielding multi-view data. The main challenge multiview clustering is find a suitable way simultaneously exploiting the complementary information all views, considering view conflicts arose by different measures. For perspective optimization, previous studies applied weighted sum method represent degree conflict and treated it as single-objective optimization problem. this work,...

A method for PLA (programmable logic array) decomposition is presented whereby a single two-level Boolean function (PLA) decomposed into two levels of cascaded PLAs. Primary inputs are partitioned disjoint sets and represented as multiple-valued variables so to minimize the total area. Two new algorithms input variable assignment, based on (a) graph partitioning (b) mathematical optimization method. The constrained output encoding first-level PLAs performed by fast efficient procedure...

To reduce the effort and cost of model maintenance in predictive control (MPC) systems, this paper explored a deficiency diagnosis improvement method by assessment residual optimization disturbance model. A quality index (MQI) was first presented to evaluate performance with routine input output process data. Based on MQI, leave-one-out proposed further assess performances submodels multi-input–multi-output (MIMO) MPC processes. The root deficient submodel could be diagnosed based comparison...

A theoretical formulation of the input encoding problem is presented, based on concept compatibility dichotomies. Three possible techniques to solve are discussed, on: borrowed from classical logic minimization (generation prime dichotomies and solving covering problem); graph coloring applied incompatibility dichotomies; extraction essential followed by coloring. Extracting serves same purpose as implicants in minimization, sense that it reduces size covering/graph problem. The conditions...

Control valves are important actuators in process industries. The blockage and leakage of the most common faults harsh environments. This paper proposes a fault diagnosis model based on an enhanced probability neural network (PNN), where modified dung beetle optimization (DBO) algorithm is developed to optimize smooth factors PNN so as improve classification accuracy robustness. Meanwhile, k-medoids clustering applied structure. proposed validated by using dataset from experiments for...

In view of the disadvantages basic ant colony algorithm in solving non-deterministic polynomial problems, such as slow convergence rate and local optimal solution. this paper, updating rules pheromone strategy target city are improved, an improved (IACA) is proposed. addition, it applied to shortest traversal path search travel salesman problem. Taking 33 provincial capitals berlin52 problems test objects, paper compares efficiency proposed with that algorithm. It can be seen from simulation...

Abstract We design and obtain mesoporous Fe‐N x ‐C sub‐microspheres (Meso ‐C‐SS) using the amino acid‐metal complex as Fe/N/C precursor silica (MSS) hard template by a facile template‐assistance strategy. The Histidine‐Fe is impregnated into mesopores of MSS, then Meso ‐C‐SS are obtained high‐temperature carbonization process removal MSS template. as‐fabricated exhibits spherical structure with rough surface diameter size 200–500 nm. And also possesses high specific area 784 m 2 g −1 , large...