Target-like echoes from the use of active sonar, known as 'clutter', pose a problem to separate real from false contacts. A method for reducing the amount of clutter in tracking underwater targets is accomplished by using an iterative Multi-Objective Genetic Algorithm (MOGA). The optimization minimizes the position of the genetic population with the last given contact positions, as one objectiv...

This paper presents a new method for design and optimization of analog integrated circuits based on Pareto-based Multi-Objective Genetic Algorithm (MOGA). The efficiency of the method is evaluated by using benchmark problems and compared with other MOGA algorithms. The method is implemented and used to optimize a telescopic cascode Op-Amp. Here, transistor sizes, compensation capacitor and bias...

The selection of the optimal features subset and the classification have become an important issue in the field of iris recognition. We propose a feature selection scheme based on the multiobjectives genetic algorithm (MOGA) to improve the recognition accuracy and asymmetrical support vector machine for the classification of iris patterns. We also suggest a segmentation scheme based on the coll...

The pixel purity index (PPI) and two-dimensional (2-D) scatter plots are two popular techniques for endmember extraction in remote sensing spectral mixture analysis, yet both suffer from one major drawback, that is, the selection of a final set of endmembers has to endure a cumbersome process of iterative visual inspection and human intervention, especially when a spectrally-complex urban scene...

11 A new scheme based on multi-objective hierarchical genetic algorithm (MOHGA) is proposed to extract interpretable rule-based knowledge from data. The approach is derived from the use of multiple objective genetic 13 algorithm (MOGA), where the genes of the chromosome are arranged into control genes and parameter genes. These genes are in a hierarchical form so that the control genes can mani...

This paper describes the use of a Genetic Algorithm (GA) for the problem of Offline Point-to-Point Autonomous Mobile Robot Path Planning. The problem consist of generating “valid” paths or trajectories, for an Holonomic Robot to use to move from a starting position to a destination across a flat map of a terrain, represented by a two dimensional grid, with obstacles and dangerous ground that th...

This paper presents the use of neural networks and genetic algorithms in time-optimal control of a closed-loop robotic system. Radial-basis function networks are used in conjunction with PID controllers in an independent joint position control to reduce tracking errors. The results indicate that using neural network controllers is more effective than using trajectory preshaping scheme, reported...

Introduction: Mogamulizumab (moga) is an anti-CCR4, monoclonal antibody approved as monotherapy for the treatment of relapsed/refractory mycosis fungoides (MF) and Sezary syndrome (SS). Combination therapies are frequently utilized in cutaneous T-cell lymphoma (CTCL), part due to variation response across blood, nodal, skin compartments. Little known about moga combination with other therapies....

* Department of Mechanical Engineering, Ubonratchathani University. ** Research and Development Center for Intelligent Systems, King Mongkut’s Institute of Technology North Bangkok. Abstract This paper presents the use of a multi-objective diversity control oriented genetic algorithm (MODCGA) for solving a closed-loop time-optimal path planning problem. The MODCGA is a result of the integration...

Abstract This paper presents a case study of applying Genetic Algorithm (GA) coupled with Monte Carlo N-Particle Transport (MCNP) and PARET codes for thermal-hydraulic safety analysis to optimize the fuel reload TRIGA Mark II Moroccan research reactor. Based on radial distribution 238U burnup ratio inside reactor core, five most burned elements were replaced by others fresh (12 % wt uranium) us...