List of Articles Multi objective optimization

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  1 - A Hybrid Cuckoo Search for Direct Blockmodeling
  Saeed NasehiMoghaddam mehdi ghazanfari babak teimourpour
  10.7508/jist.2017.18.001
  As a way of simplifying, size reducing and making sense of the structure of each social network, blockmodeling consists of two major, essential components: partitioning of actors to equivalence classes, called positions, and clarifying relations between and within posit More

  As a way of simplifying, size reducing and making sense of the structure of each social network, blockmodeling consists of two major, essential components: partitioning of actors to equivalence classes, called positions, and clarifying relations between and within positions. Partitioning of actors to positions is done variously and the ties between and within positions can be represented by density matrices, image matrices and reduced graphs. While actor partitioning in classic blockmodeling is performed by several equivalence definitions, such as structural and regular equivalence, generalized blockmodeling, using a local optimization procedure, searches the best partition vector that best satisfies a predetermined image matrix. The need for known predefined social structure and using a local search procedure to find the best partition vector fitting into that predefined image matrix, makes generalized blockmodeling be restricted. In this paper, we formulate blockmodel problem and employ a genetic algorithm to search for the best partition vector fitting into original relational data in terms of the known indices. In addition, during multiple samples and various situations such as dichotomous, signed, ordinal or interval valued relations, and multiple relations the quality of results shows better fitness to original relational data than solutions reported by researchers in classic, generalized, and stochastic blockmodeling field. Manuscript profile
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  2 - Multiple objective optimization for assigning students of public high schools to private high schools in uncertainty condition (case study: mallard region
  Ahmad Makui Seyedeh Sara   Ghasemi
  Nowadays, choosing the most effective and optimum strategy for selecting and assigning students to the target schools due to its great impact on the quality and quantity of education is one of the important concerns of the educational institution. In this regard, it is More

  Nowadays, choosing the most effective and optimum strategy for selecting and assigning students to the target schools due to its great impact on the quality and quantity of education is one of the important concerns of the educational institution. In this regard, it is necessary to determine the appropriate criteria for appropriate selection of students, taking into account the standards and educational needs of students. In this research, from the perspective of the academic level, the student-to-school distance and the ideal planning approach, a decision-making model with distinct goals for selecting and assigning students to nonprofit and governmental schools is presented. According to the proposed method, firstly, the assessment of the students is carried out in relation to the schools in the target area, with two approaches of distance between the student and the target school and the academic level correspondence. The results of these assessment, based on the new and applied BWM, determining the weight of the academic level and the distance to the school by each student toward the school. In the next step, based on the level of science weights and the distance between each student and school, ideal planning modelling is revised for each student. In this case, the specified weights are the main inputs and the required ideal constraints are also considered. Finally, by solving the proposed model, the optimal assignment of students to each of the schools is done. After the students have been assigned to the target schools, we may encounter lack of capacity in some schools. In this case, by providing a flowchart, the way of students’ relocation to the standard capacity for all schools is explained. Also, due to the implementation of the proposed research methodology for allocating students to the schools belonging to the "Mallard" region, and conducting relevant evaluations and calculations, the sensitivity analysis has also been done. The final results of the sensitivity analysis of the proposed model indicate that the lack of consideration of the academic level approach causes changes in selection and allocation of students to schools. Therefore, the academic level should be taken into account in assessments related to the allocation of students to schools. Manuscript profile