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Adaptive beamforming is critical in high performance radar and wireless communications applications. This paper presents a study of adaptive beamforming for arbitrary array by applying the powerful and versatile particle swarm optimization (PSO). Numerical experiments for sidelobe suppression, nulling, null steering and array failure correction have demonstrated that the presented PSO approach is...
Conventional controllers like Proportional Derivative (PD), Proportional Integral (PI) and Proportional Integral Derivative (PID) controllers were used in implementing Velocity Control Mode (VCM) in Cruise Control (CC) and Adaptive Cruise control (ACC) vehicles. Transition that occur in "resume mode" of CC and transitions that occur during switching from Distance Control Mode (DCM) to VCM...
Combinatorial problems are NP-complete, which means even infinite number of CPUs take polynomial time to search an optimal solution. Therefore approximate search algorithms such as Genetic Algorithms are used. However, such an approximate search algorithm easily falls into local optimum and just distributed / parallel processing seems inefficient. In this paper, we introduce distributed GAs, which...
An Ikeda map embedded genetic algorithm is introduced in this research in order to solve the order picking problem. The chaos based algorithm is compared against the canonical pseudo-random number based genetic algorithm over thirty test instances of varying complexity. From the results, the chaos based genetic algorithm is shown to have better overall performance, especially for larger sized problem...
Within a large group of decision makers, varying amounts of both conflicting and harmonious views will be prevalent within the group, but obscured due to group size. When the number of Decision Makers is large, utilizing clustering during the process of aggregation of their views should aid both knowledge discovery - about the group's conflict and consensus - as well as helping to streamline the aggregation...
In this paper, an effective reduction method of the number of subproblems for the design of CSD (Canonic Signed Digit) coefficient FIR (Finite Impulse Response) filters using BB (Branch and Bound method) is studied. The problem can be formulated as a mixed integer programming problem. The problem can be optimally solved by using the BB. For solving the problem, it is required to solve a large number...
We propose a signboard design system with votes by multiple people. When determining a signboard design with many people, it is important that local residents agree on a single signboard design. Therefore, we created a signboard design system that determines the design by popularity using an evolutionary computation algorithm to finalize the design. We have proposed a paired comparison voting method...
We propose a system to create designs that reflect multiple user preferences obtained by voting using digital signage. When creating such designs, it is important to collect a significant number of user opinions and adopt them in the designs. However, as the number of users increases, the collection of opinions becomes more difficult. We propose an interactive evolutionary computation system using...
Acquiring a Master Degree is becoming a common practice to ensure successful life and good career path, especially in developing countries. Master Degree in Information Technology is one of the most popular programmes with prolific number of applications and students. This work has two main objectives. First is to discover the number of clusters of applicants and the characteristics of each cluster...
An excersice prescription is a professionally designed excersice plan for improving one's health according to the results of his health-related physical fitness (HRPF) tests. Traditionally, an excersice prescription is formulated by manually checking the norm-referenced chart of HRPF; however, it is time consuming and a highly specialized and experienced expert on health-related physical fitness testing...
A robust and high quality image watermarking method has high demand for protection of copyrighted multimedia data over internet. The existing image watermarking methods generally exploit the correlated color models due to which only one color component at a time can be used for embedding the watermark. Therefore, in this paper, a novel steerable pyramid transform (SPT) based digital image watermarking...
In front of the conventional loudspeaker array, the sound pressure level of uniform distribution in a linear listening area is constrained by frequency range. In the previous papers, we have realized SPL distribution evenly from 200 to 500 Hz by controlling the phase of linear loudspeakers. However, with the increasing of frequency, we have to consider about the directivity of single loudspeaker....
Presently, traffic is a serious problem in Epifanio Delos Santos Avenue (EDSA) cause by increasing work force and increasing number of vehicles [1]. Manual scheduling of buses became inefficient and this was proven by the unbalance number of bus and overcrowded passengers in different points of service, it also affect the bus carrier's profit. This research aims to model a new way of schedule pattern...
This paper presents a multi-objective particle swarm optimization with asynchronous update (AS-MOPSO). That is, Pareto front is immediately evaluated whenever a particle in the swarm updates, a subsequent particle in the swarm regulates its position partly based on information up to current iteration, and partially depending on previous message. To evaluate the features of the proposed algorithm,...
Path planning in quadrotor-typed UAV is essential in navigating from initial to destination point. This will minimize the power consumption of the vehicle which is important to avoid wasted energy in a given amount of time. This paper will use Genetic Algorithm (GA) to determine the shortest path that the quadrotor must travel given one target point to save energy and time without hitting an obstacle...
This paper introduce Genetic Algorithms (GA) as an optimization tools of finding the best alternate route of busses along EDSA. The study aims to reduce the number of busses travelling across the main road of EDSA, find the best station nodes to optimize the number of passenger in every travel and when the optimum number of passenger is achieved the higher profit of the bus company will follows. The...
At present in the field of solar thermal power, there are two types of solar tracking control modes as the date trajectory tracking and the optical test tracking. However, both of them have some disadvantages. As the date trajectory tracking in the lack of automatic adjustability, optical test tracking will use a large number of photoelectric detection devices. In order to solve the problems above,...
In the last few decades, governments have been allocating considerable resources to plan for their future education systems. To do this, simulation models have been intensively utilized to develop different planning scenarios. Normally, these models are extremely complex and reaching optimum planning scenarios is almost impossible. This paper is trying to introduce more efficient modeling approach...
This paper presents an application of genetic algorithms to the fuzzy formulation of the economic load dispatch problem with prohibited operating zones in power plant. We attempt to apply these genetic algorithms to the fuzzy mathematical programming problem which involve imprecise (uncertainty) information. The principle objective in this paper is how to attribute a fuzzy set in the building of the...
The study investigates optimal policies for determining price of the product under the influence of reworking during production. A mathematical model is proposed using optimal control theory for profit maximization, which determines the optimal pricing strategies. Moreover, we have considered reworking of imperfect items being produced during the machine shifts from in-control state to out-control...
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