Genetic Programming, or GP, has traditionally used prefix trees for representation and reproduction, with implicit flow control. The different clauses (the evaluation condition, the if and else sections, etc.) are all subtrees of the flowcontrol node. Linear and stack-based representations, however, require explicit nodes to define the extent of the control structures. This paper introduces a s...

Compressed Linear Genetic Programming (cl-GP) uses substring compression as a modularization scheme. Despite the fact that the compression of substrings assumes a tight linkage between alleles, this approach improves the GP search process. The compression of the genotype, which is a form of linkage learning, provides both a protection mechanism and a form of genetic code reuse. This text presen...

This paper presents a multi objective geometric programming model which determines the product`s selling price in two markets. We assume demand is a function of price and marketing expenditure in two markets. The cost of production is also assumed to be a function of demands in both markets. Our model is a posynomial function which is solved using Geometric Programming (GP). In our GP implement...

0377-2217/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.ejor.2011.06.041 ⇑ Tel.: +886 920884730. E-mail address: [email protected] Goal programming (GP) has been, and still is, the most widely used technique for solving multiple-criteria decision problems and multiple-objective decision problems by finding a set of satisfying solutions. However, the major limitation of goal progr...

genetic programming (gp) is one of the computer algorithms in the family of evolutionary-computational methods, which have been shown to provide reliable solutions to complex optimization problems. the genetic programming under discussion in this work relies on tree-like building blocks, and thus supports process modeling with varying structure. in this paper the systems containing amino acids ...

Today the most organizations (e.g. banks and insurance institutes) consist of the various units which under the control of the main organization (unified management) act independently. Sometimes the manager presents some services which incur costs such as advertisement and introducing a new technology. Most organizations consist of several individual units. Resource allocation issue appe...

A common problem in datamining is to nd accurate classiiers for a dataset. For this purpose, genetic programming (GP) is applied to a benchmark of classiication problems. In particular, using GP we are able to induce decision trees with a linear combination of variables in each function node. The eeects of techniques as limited error tness, tness sharing Pareto scoring and domination Pareto sco...

  A fuzzy goal programming-based approach is used to solve a proposed multi-objective linear programming model and simultaneously handle two important problems in cellular manufacturing systems, viz. cell formation and layout design. Considerations of intra-cell layout, the intra-cell material handling can be calculated exactly. The advantages of the proposed model are considering machining cos...