Tabu-Genetic Algorithm-Based Model for Poultry Feed Formulation

Feed Formulation for Fish and Poultry

Simulated Evolution based Hybrids for Genetic Algorithm and Tabu Search

In this paper, Simulated Evolution based goodness attributes are incorporated into Tabu Search and Genetic Algorithms to enhance performance as compared to canonical strategies. In TS, the goodness is used in generating the candidate list of neighboring solutions. In GA, allele fitness is used to define a new crossover which significantly improves over traditional recombination strategies. Both...

Tabu-KM: A Hybrid Clustering Algorithm Based on Tabu Search Approach

  The clustering problem under the criterion of minimum sum of squares is a non-convex and non-linear program, which possesses many locally optimal values, resulting that its solution often falls into these trap and therefore cannot converge to global optima solution. In this paper, an efficient hybrid optimization algorithm is developed for solving this problem, called Tabu-KM. It gathers the ...

A Neighborhood Expansion Tabu Search Algorithm Based On Genetic Factors

We provide an improved algorithm called “a neighborhood expansion tabu search algorithm based on genetic factors” (NETS) to solve traveling salesman problem. The algorithm keeps the traditional tabu algorithm’s neighborhood, ensure the algorithm’s strong climbing ability and go to the local optimization. At the same time, introduce the genetic algorithm’s genetic factor (crossover factor and va...

A hybrid model based on machine learning and genetic algorithm for detecting fraud in financial statements

Financial statement fraud has increasingly become a serious problem for business, government, and investors. In fact, this threatens the reliability of capital markets, corporate heads, and even the audit profession. Auditors in particular face their apparent inability to detect large-scale fraud, and there are various ways to identify this problem. In order to identify this problem, the majori...