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Solving system of non-linear equation is a general purpose problem that can be applied to real-time applications. Although there are several methods like Newton-Raphson method, secant method, bisection method, fixed-point iteration etc. evolutionary and soft computing methods optimize the space and time complexity to solve nonlinear systems. In this article, we present the Genetic Algorithm approach...
In the past years, the Web has become a huge source of opinionative data. Social media, such as Twitter, are regarded as public diaries, where millions of people express their sentiments and opinions in their daily interaction. One of the biggest challenges in the analysis of such data, is the classification of their polarity, that is, whether they carry a positive or negative connotation. For this...
Control of unmanned aerial vehicles (UAVs) is challenging due to inherent nonlinearities and its coupled dynamics. In this paper, an improved proportional-integral-derivative (PID) controller is proposed for UAV motion control with 6 degrees of freedom (DOF). A genetic algorithm is employed to find suboptimal coefficients of PID controller to optimize performance of the closed-loop control system...
This article presents a multi-phase bidding model that is primarily for reverse bidding (1:N) and can also be used later for bilateral bidding (1∶1). This multi-phase approach excels by competing for the lowest price and relativizes a subtle “lose-win” relationship of its own for the reverse auction through a second phase of negotiation. The latter is limited to a bilateral relationship and is applied,...
This paper investigates the vehicle routing problem (VRP) under multi-objective constraints. More specifically, we consider the distance, fixed cost, time, together with risk simultaneously. To get a quicker and more accurate solution, several improvements are proposed in applying GA for optimization search. Practical test confirms the effectiveness of the proposed method.
This paper presents an intelligent expert based system ANFISGA for the dosage planning for Type2 diabetes male patients. Even the Type2 diabetes accounts 90% of total diabetes patients the accurate dosage planning for the disease is complicated due to the variations of human body. In this paper two Artificial Intelligence techniques ANFIS and GA were combined. This human genetic algorithm accept the...
Active fin control is the most effective anti-rolling approach for ship stabilization system, however the accurate model of whole nonlinear dynamic ship system under random wave or wind impact is difficult to obtain. In this paper, a guarded heuristic genetic algorithm fin controller (GHGAFC) including a heuristic genetic algorithm fin controller (HGAFC) and a guarded fin controller (GFC) is developed...
Cholesterol level is the significant factor which causes cardiovascular disease. The cholesterol types used to measure the fat level are total, low density lipoprotein (LDL), high density lipoprotein (HDL) and Triglycerides (TG). There are two methods used to measure the cholesterol level. The first method is by directly measuring the patient blood which although yields the best accuracy, is accompanied...
Selecting k out of a given set say n of sensors to accomplish some tasks or meet some well-defined objectives is often modelled and solved as an optimization problem or through an exhaustive search. The later solution strategy is ideal for some small sizes of both n and k. However, this simplistic method becomes quite hard and resource intensive considering a network of randomly deployed wireless...
This paper presents an optimization model of the power generation potential for either new or repowered hydroelectric plants. It is based on curves that represent the unit efficiency as a function of the nominal output. The objective is to choose the combination of efficiency curve types that maximizes the power generation for certain load levels. The mathematical formulation results in a mixed integer,...
This paper deals with a reliability optimization problem for a series system with multiple-choice and budget constraints. Choosing one technology for each subsystem and for maximizing the reliability of the whole system subject to the available budget, the optimization criteria are in used. We develop an efficient genetic algorithm hybridized with a local search step to solve the problem. In the approach,...
Mutation is a fundamental operation in genetic algorithm (GA) for it has a significant impact on global search ability and convergence rate. Traditional mutation operation of GA changes chromosomes randomly (or blindly), which would waste a lot of computational cost in searching less promising regions or those have been searched frequently. To address these drawbacks, this paper proposes a novel guide...
Interest in using offshore wind power is rapidly increasing worldwide. A typical offshore wind farm may have hundreds of generators installed within an area ranging from several to tens of square kilometers. Therefore, many feasible schemes have been developed for optimizing wind turbine locations and internal line connections in a wind farm. The planner must search for the optimal scheme in terms...
Track systems, which are widely used in the field of photolithography, can perform sequential coat, bake, chill and develop operations. These systems are typically configured by process engineers with their expert knowledge of the system in order to optimize flow interactions as much as possible in order to reduce the amount of bake plate temperature ramping required whilst still maintaining a high...
This paper presents a pioneering approach for weld bead detection in radiographic images obtained by the Double Wall Double Image (DWDI) technique. Such task constitutes an essential step for several high level processes, such as fully automatic flaw identification on welded joints. Sets of sample pixels, corresponding to candidate solutions provided by a genetic algorithm (GA), are compared to pre-defined...
Evolutionary computations are naturally inspired stochastic algorithms that are capable of running perpetually. When deployed as optimization tools, it is imperative to prescribe a set of definitive stopping criteria that if satisfied, the evolutionary process could be brought to a halt. User specified limits on maximum evaluations or generations are the common measures used to stop the evolution...
This study intends to propose a hybrid ant colony optimization (ACO) and genetic algorithm (GA) (HACOGA) for solving the capacitated vehicle routing problem (CVRP) with time window, fuzzy travel time and demand. A mathematical model for CVRP with time window, fuzzy travel time and demand is first constructed. It applies fuzzy credibility and ranking approaches. Then, the proposed HACOGA which combines...
Spam is an unsolicited e-mail on the internet to a large number of users. A spam filter is used to detect the spam mails and to prevent those mails from user's inbox. Bloom Filter is used for identifying the spam mails. A Bloom filter is a space efficient data structure used to check membership to a set. By obtaining speed and size improvements, it allows some probability of errors like false positives...
This paper presents a technique for applying evolutionary computation techniques, particularly genetic algorithms, to the generation of approximate solutions of equations and sets of equations. The technique is applied to the solution of an eigenvalue differential equation of physical significance, the Schrodinger equation, which is addressed for two- and three- center Coulomb potentials. The technique...
Parkinson's disease is a disorder of central nervous system. It is estimated that 90 percent of people with parkinson's disease suffer from speech and voice disorders. Vocal folds are usually undermined by this disease which would lead to creation of an improper voice in the patient's speech. In this paper, various features have been extracted from the voice signals of healthy people and people suffering...
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