logistic network design is one of the most important strategic decisions in supply chain management that has recently attracted the attention of many researchers. transportation network design is then one of the most important fields of logistic network. this study is concerned with designing a multi-stage and multi-product logistic network. at first, a mixed integer nonlinear programming model...

Statistical distribution of chemical fingerprints p. 11 Fuzzy transforms and their applications to image compression p. 19 Development of neuro-fuzzy system for image mining p. 32 Reinforcement distribution in continuous state action space fuzzy Q-learning : a novel approach p. 40 A possibilistic approach to combinatorial optimization problems on fuzzy-valued matroids p. 46 Possibilistic planni...

in traditional portfolio selection model coefficients often are certain and deterministic, but in real world these coefficients are probabilistic. so decision maker cannot estimate them exactly. financial optimization is one of the most attractive areas in decision under uncertainty. in the portfolio selection problem the decision maker considers simultaneously conflicting objectives such as ra...

abstract: in most industries the cost of raw materials and component parts constitutes almost 60% percent of cost of a product (in some industries up to 80%). in this situation, proper sourcing can play a key role in an organization's efficiency and effectiveness, because it has a direct effect on cost reduction, profitability and flexibility of a company. in this paper, determining the op...

background: irreversible electroporation (ire) is a novel tumor ablation technique. ire is associated with high electrical fields and is often reported in conjunction with thermal damage caused by joule heating. for good response to surgery it is crucial to produce minimum thermal damage in both tumoral and healthy tissues named non-thermal irreversible electroporation(ntire). non-thermal irrev...

this paper deals with a multi-period fixed charge production-distribution problem associated with backorder and inventories. the objective is to determine the size of the shipments from each supplier and backorder and inventories at each period, so that the total cost incurred during the entire period towards production, transportation, backorder and inventories is minimised. a 0-1 mixed intege...

This paper presents an evolutionary method for identifying the gene regulatory network from the observed time series data of gene expression using a system of ordinary differential equations (ODEs) as a model of network. The structure of ODE is inferred by the Multi Expression Programming (MEP) and theODE’s parameters are optimized by using particle swarm optimization (PSO). The proposed method...

This paper uses integrated Data Envelopment Analysis (DEA) models to rank all extreme and non-extreme efficient Decision Making Units (DMUs) and then applies integrated DEA ranking method as a criterion to modify Genetic Algorithm (GA) for finding Pareto optimal solutions of a Multi Objective Programming (MOP) problem. The researchers have used ranking method as a shortcut way to modify GA to d...

In this chapter it is shown how Automatically Defined Functions are encoded in the genotype/phenotype system of Gene Expression Programming. As an introduction, the fundamental differences between Gene Expression Programming and its predecessors, Genetic Algorithms and Genetic Programming, are briefly summarized so that the evolutionary advantages of Gene Expression Programming are better under...

Genetic Programming is very efficient in problem solving compared to other proposals but its performance is very slow when the size of the data increases. This paper proposes a model for multi-threaded Genetic Programming classification evaluation using a NVIDIA CUDA GPUs programming model to parallelize the evaluation phase and reduce computational time. Three different well-known Genetic Prog...