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Discussed evolutionary algorithms to solve multi-objective optimization problems, Proposed using IFDNAGA algorithm to solve multi-objective optimization of nutritional policy-making. Finally, IFDNAGA algorithm is applied into nutritional analysis and decision-making optimization problem to be seeking the best dietary structure. The results show that the algorithm is effective.
This paper proposes an improved retain and replace (QGDA) genetic algorithm through selecting code in the ad hoc network routing. The simulation shows that this algorithm has more superior than that of the traditional retain elites (GAES) genetic algorithm and based on information entropy IEIAE immune algorithm in the delay and control of the expenditure.
Most studies on computer-aided instruction system focus on the theories and general models. A detail study on the computer-aided instruction of solid geometry teaching has been carried out in this paper. In the first phase of the study, an attempt is made to construct a knowledge transmission model on classroom teaching. The problems in the process of teaching are analyzed using the knowledge transmission...
The issue of diabetes diet is regarded as multiobjective optimization problem which is different from traditional single-objective approach. In this paper,we design the nutrition diet decision-making model for the diabetes. We uses the state transition table to describe the genetic operators. The multi-objective optimization algorithm NSGA-II is applied to the diabetic patients nutrition decision-making...
The primary idea of genetic algorithm (GA) and its general method in solving the problem are introduced. Multi-objective GA is proposed based on the analysis of such factors as energy, protein, carbohydrate, objective cost, other nutriment, and nutrition quality, the optimization model as well as its algorithm for nutrition meals from which some other problems that need further investigation are also...
Unlike traditional single objective method, hypertension design is represented as a multi-objective optimization problem. In this paper, we present an improved multi-objective genetic algorithm to solve hypertension nutritional diet problems. Simulated annealing is presented to overcome deficiencies such as the poor local search and premature convergence of multi-objective genetic algorithm. The experimental...
MANET as a new type of mobile wireless networks, its unique characteristics increase the difficulty of the management, in particular, the movement of nodes require more effective management of topology, which nearly pose a challenge. Thus, with the analysis of characteristic and application requirements of the ad hoc network, a new type of clustering algorithm is proposed based on energy which mainly...
The work presented in this thesis is part of the research carried out in the dietary nutrition decision supporting problem (DNDSP) [1]. This thesis consist of two parts. The first part presents ant colony algorithmpsilas basic principle and its typical application in traveling salesman problem(TSP). Firstly, put forward the clustering analysis, which based on the ant colony algorithm, the incursion...
In this paper a new method to judge the grade of normal form for relational database is proposed based on rough sets theory. First, some concepts about INF, 2NF, 3NF and BCNF are given and the principles of rough set theory are discussed. Second, the method to judge the grade of normal forms for a given relation is analyzed using rough sets theory, and some properties of a relation satisfying some...
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