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...

quantitative relationships between structures of twenty six of 2-mercaptoimidazoles as c-c chemokine receptor type 2 (ccr2) inhibitors were assessed. modeling of the biological activities of compounds of interest as a function of molecular structures was established by means of genetic algorithm multivariate linear regression (ga-mlr) and genetic algorithm (ga-ann). the results showed that, the...

The work concerns a genetic algorithm for the flow shop scheduling problem with release times and the late work criterion, which is NP-hard. The proposed meta-heuristic method minimizes the number of units of job processing times executed after their given due dates. We describe the components of this approach and present the analysis of test results. Computational experiments, preceded by an e...

Global warming and climate change are threatening life on earth. These changes due to human activities resulting in the emission of greenhouse gases. This is caused by intensive industrial excessive fuel energy consumption. Recently, scheduling production systems has been judged be an effective way reduce field green scheduling, which aims allocate jobs machines order minimize total costs, with...

in this study, a hybrid algorithm is presented to tackle multi-variables robust design problem. the proposed algorithm comprises neural networks (nns) and co-evolution genetic algorithm (cga) in which neural networks are as a function approximation tool used to estimate a map between process variables. furthermore, in order to make a robust optimization of response variables, co-evolution algor...

The fundamental function of a cellular manufacturing system (CMS) is based on definition and recognition of a type of similarity among parts that should be produced in a planning period. Cell formation (CF) and cell layout design are two important steps in implementation of the CMS. This paper represents a new nonlinear mathematical programming model for dynamic cell formation that employs the ...

This paper presents a novel, multi-objective model of a parallel machines scheduling problem that minimizes the number of tardy jobs and total completion time of all jobs. In this model, machines are considered as unrelated parallel units with different speeds. In addition, there is some precedence, relating the jobs with non-identical due dates and their ready times. Sequence-dependent setup t...

the research on project scheduling has widely expanded over the last few decades. the vast majority of these research efforts focus on exact and suboptimal procedures for constructing a workable schedule, assuming complete information and a static deterministic problem environment. project activities are scheduled subject to both technological precedence constraints and resource constraints, mo...

abstract in this paper, a fuzzy pid with new structure is proposed to solve the load frequency control in interconnected power systems. in this study, a new structure and effective of the fuzzy pid-type load frequency control (lfc) is proposed to solve the load frequency control in interconnected power systems. the main objective is to eliminate the deviations in the frequency of different area...