Portfolio optimization is a problem that lends itself naturally to multiobjective approaches, e.g., aimed to maximize the return of the investment, simultaneously minimizing the risk. The selection of an actual portfolio requires exercising a decision-making process on the set of efficient solutions thus obtained. In this work we consider the case in which knowledge of this selection criterion ...

Classification problem is one of the wellstudied problems in machine learning. By supervised way we can solve it. First step is the generation of IF-THEN rules at the learning phase from records where class is known. Second step is to use those rules to classify records where class is not known. In this article we are using real coded multi objective genetic algorithms (MOGAs) for generating a ...

Many researchers have controlled and analyzed biped robots that walk in the sagittal plane. Nevertheless, walking robots require the capability to walk merely laterally, when they are faced with the obstacles such as a wall. In walking robot field, both nonlinearity of the dynamic equations and also having a tracking system cause an effective control has to be utilized to address these problems...

Many engineering design optimization problems contain multiple objective functions all of which it is desired to minimize, say. One approach to solving this problem is to identify those inputs to the objective functions that produce an output (vector) on the Pareto Front; the inputs that produce outputs on the Pareto Front form the Pareto Set. This paper proposes a method for identifying the Pa...

In practical applications of optimization it is common to have several conflicting objective functions to optimize. Frequently, these functions are subject to noise or can be of black-box type, preventing the use of derivative-based techniques. We propose a novel multiobjective derivative-free methodology, calling it direct multisearch (DMS), which does not aggregate any of the objective functi...

The performance of horizontal axis tidal current turbines (HATCT) strongly depends on their geometry. According to this fact, the optimum performance will be achieved by optimized geometry. In this research study, the multi objective optimization of the HATCT is carried out by using four different multi objective optimization algorithms and their performance is evaluated in combination with bla...