modelling and forecasting stock market is a challenging task for economists and engineers since it has a dynamic structure and nonlinear characteristic. this nonlinearity affects the efficiency of the price characteristics. using an artificial neural network (ann) is a proper way to model this nonlinearity and it has been used successfully in one-step-ahead and multi-step-ahead prediction of di...

numerous problems encountered in real life cannot be actually formulated as a single objective problem; hence the requirement of multi-objective optimization (moo) had arisen several years ago. due to the complexities in such type of problems powerful heuristic techniques were needed, which has been strongly satisfied by swarm intelligence (si) techniques. particle swarm optimization (pso) has ...

objective: several vaccines against hiv have been investigated but none has been approved as an effective hiv vaccine. an approach that could induce stronger immune response against the pathogen is utilizing a multi-epitopic vaccine. this strategy was used in the design of several vaccines and resulted in improved immune responses. materials and methods: in this study a multi-epitopic fusion p...

in this paper, a multi purpose function is presented for optimum design in circular hydrostatic axial bearings. one or more parameters that are directly or indirectly dependent on given data are optimized. usually in the local optimization methods, it is not possible to optimize several parameters simultaneously. in this research, simultaneous optimization of the power loss and the oil temperat...

scheduling for job shop is very important in both fields of production management and combinatorial op-timization. however, it is quite difficult to achieve an optimal solution to this problem with traditional opti-mization approaches owing to the high computational complexity. the combination of several optimization criteria induces additional complexity and new problems. in this paper, we pro...

aphasia diagnosis is a challenging medical diagnostic task due to the linguistic uncertainty and vagueness, large number of measurements with imprecision, inconsistencies in the definition of aphasic syndromes, natural diversity and subjectivity in test objects as well as in options of experts who diagnose the disease. in this paper we present a new self-organized multi agent system that diagno...

this research uses a comprehensive method to solve a combinatorial problem of distribution network expansion planning (dnep) problem. the proposed multi-objective scheme aims to improve power system's accountability and system performance parameters, simultaneously, in the lowest possible costs. the dynamic programming approach is implemented in order to find the optimal sizing, siting and...

in many real world assembly line systems which the work-piece is of large size more than one worker work on the same work-piece in each station. this type of assembly line is called multi-manned assembly line (mal). in the classical multi-manned assembly line balancing problem (malbp) the objective is to minimize the manpower needed to manufacture one product unit. apart from the manpower, othe...