In this paper we present parallel genetic algorithm that was used to the task of evolving imperative sort programs. A variety of interesting lessons were learned. With proper selection of the primitives, sorting programs were evolved that are both general and non-trivial. Unique aspect of our approach is that we represent the individual programs with simple assembler code, rather than usual tre...

banking and financial services are important parts of the service industry. quality of service in the banking industry has a close relationship with customer satisfaction service system. banks could create competitive advantage by increasing customer satisfaction and reduce costs in today's competitive environment. this paper presents a decision-making model to obtain optimum tasks assigne...

the aim of this paper is to present an efficient method for a rail freight car fleet sizing problem. this problem is modeled mathematically as a multi-period, dynamic and multi-objective, in which the rail freight wagons are assumed to be heterogeneous. demands for different wagons and all travel times are assumed deterministic. in order to increase the utilization of the available wagons in th...

An evolutionary multi-objective optimization tool based on an estimation of distribution algorithm is proposed. The algorithm uses the ranking method of non-dominated sorting genetic algorithm-II and the Parzen estimator to approximate the probability density of solutions lying on the Pareto front. The proposed algorithm has been applied to different types of test case problems and results show...

Electric continuously variable transmission (E-CVT) is a vital part of the automobile in order to enhance power coupling. The oil pump an important source component hybrid system. Its efficiency exerts significant impact on supply system and even In this study, gerotor designed line with requirements certain type electric vehicle. A Non-dominated Sorting Genetic Algorithm II (NSGA-II) genetic a...

in financial matters, portfolio can be interpreted as a combination or a series of investments hold by an institution or a person. portfolio optimization is one of the most important concerns of investors for maximizing the portfolio in financial markets. the formation of portfolio is a vital and critical decision for the companies.  in fact, the selection of portfolio is to specify the capital...

In this paper, we discuss about various applications of Non-dominated Sorting Genetic Algorithm. Six papers are taken for survey. Its advantages and disadvantages are discussed.

We address the problem of optimizing a spacecraft trajectory by using three different multi-objective evolutionary algorithms: i) Non-dominated sorting genetic algorithm, ii) Pareto-based ranking genetic algorithm, and iii) Strength Pareto genetic algorithm. The trajectory of interest is an orbit transfer around a central body when the spacecraft uses a lowthrust propulsion system. We use a Lya...

Real-time route planning is always a difficulty in maritime traffic. Route must take into account the complex meteorological environment. based on environment real-time update basis of feasibility. Based potential field theory, this paper proposes TPS - Genetic algorithm for sailing ships. On genetic algorithm, combined with characteristics planning, turning point sorting operation added to imp...

A multidisciplinary and multi-objective optimization approach that integrates the design of control surfaces’ sizes, active system, estimator for an aircraft’s wing with three surfaces is developed in this paper. Four objectives are considered: minimizing impacts external gust loads, maximizing stability robustness, reducing energy consumption, Frobenius norm gains. For simulation purposes, a m...