[PDF] Top 20 Multi-Objective Gene Expression Programming for Clustering

... A clustering technique based on GEP (GEP- Cluster) was first proposed in [4], and a new concept named the clustering algebra, which performs clustering as algebraic operation, is ...evolutionary ... See full document

... of gene expression to lesions elicited by ...associate gene expression with cisplatin-mediated toxicity in male Sprague-Dawley rat kidney ...The gene expression pattern elicited ... See full document

... different configuration during the solving process could improve algorithm performance [7]. When a search becomes trapped in a local optima, adapting the algorithm, on the fly, could help the algorithm to escape. ... See full document

... Conventional programming approaches does not deal with this situation however some researches have specifically treated the multi-objective ...to multi objective ...for ... See full document

... combining objective functions in a multi – objective programming problem may favour some objective functions and thus suppressing the impact of others in the overall analysis of the ... See full document

... data, clustering arises as one of the main techniques used, and it aims at finding groups of genes that have some criterion in common, like similar expression ...normally multi dimensional, making ... See full document

... many clustering algorithms like the k-means algorithm result in only a local optimal solution to the objective function they are trying to ...in clustering as one local optimal result may provide ... See full document

... The multi-objective problem of the de novo programming is a matter of general multi-objective programming whose constraints are constructed into the form of a ...novo ... See full document

... The study of multi-objective programming problems was very active in recent years. The minimum (efficient, Pareto) solution is an important concept in mathematical models, economics, decision theory, ... See full document

... Multi objective programming in crisp and fuzzy environment have been well developed in order to deal realistic ...problems. Multi-objective programming in intuitionistic fuzzy ... See full document

... Linear fractional programming is one of the most popular fields today in nonlinear optimization theory. The optimiza- tion of several linear ratios is a special class optimization problems. From the last three ... See full document

... each objective. The objective function is then formulated and a solution is sought which minimizes the weighted sum of deviations from their respective ...an objective function, a set of goal ... See full document

... The transportation planning decision (TPD) problems involves the distribution of goods and services from a set of sources to a set of destinations a variety of transporting routes and differing transportation costs for ... See full document

... transform multi-objective linear program- ming problem (MOLPP) to the single objective linear programming problem by using Harmonic mean for values of function and an algorithm is suggested ... See full document

... Keywords: Cancer Classification, Genetic Algorithm, Gene Expression Data, Gene Selection,.. Multi-objective.[r] ... See full document

... presented multi- objective mutli- item STP with fuzzy numbers in the supplies, demands, capacity of conveyances, and ...fuzzy multi- criteria ...investigated multi- objective ...fuzzy ... See full document

... in objective function which is based on Charnes and Cooper technique (2012) solved the LFP problem by algebraic approach which depends on the duality concept and the partial ...one objective function ... See full document

... Multi-objective optimization is the process of simultaneously optimizing two or more conflicting objectives subject to certain ...certain multi-objective ... See full document

... Multi-level programming (MLP) is indicated as mathematical programming which solves the coordinating problem of the decision-making process in decentralized systems by enhancing the objective ... See full document

... solve multi-objective allocation problem of repairable components define in equation (6); we apply the fuzzy goal programming approach consideration of multi-objective vector minimum ... See full document