[PDF] Top 20 Optimization of Thinned Dipole Arrays Using Genetic Algorithm

... radiators dipole is one, which consists of a straight conductor (often a thin wire) broken at some point where it is excited by a voltage derived from a transmission ...the dipole resonate at λ /2 ... See full document

... with genetic algorithm operations and applied the genetic algorithms to the pipeline ...systems. Genetic Algorithm can be easily applied to situations where there is little prior ... See full document

... the algorithm tries to climb up from the current solution to reach a ...the algorithm behaves just like a stochastic hill climbing ...the algorithm is almost certain to find the global ...problem. ... See full document

... multi-objective optimization problems. Thus, in this work, the genetic algorithm (GA) is introduced for the purpose of obtaining the Pareto optimal fronts for the two conflicting objectives to show ... See full document

... various optimization algorithms divided into two categories: Evolutionary algorithms and Swarm optimization algorithms ...[2]. Genetic algorithm, an evolutionary algorithm, is a ... See full document

... A genetic algorithm has been used for the optimum design of crankshaft. Some examples of optimum design that minimize the diameter of crankshaft under constraints are presented. The numerical results are ... See full document

... to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), generates solution to optimization problems using techniques inspired by ... See full document

... Genetic Algorithm is based on the principle of best gene selection from a huge available population of ...of Genetic Algorithm is applied by different researchers on the antenna design ... See full document

... The optimization procedures developed in this work are based on the various non-traditional approaches that have been implemented using ...FMS using different non- traditional algorithms and ...the ... See full document

... an optimization model is developed for multi- objective resource-constrained scheduling which evaluates several resource-duration alternatives within each ...The optimization aims at minimizing the total ... See full document

... tuned. Genetic algorithm is a modern optimization technique that being studied by most researchers in searching the optimal PID ...2013). Genetic algorithm can provide solutions for ... See full document

... It is constituted by three genes in our work, which are submitted to genetic modification which are optimized by genetic search. The following figure shows one chromosome format of the IFS, this will ... See full document

... planar arrays has shown that reduction of sidelobe level (SLL, in dB's) is linearly related to the logarithm of the reduction in half-power beam width ...determined using GA. Results show that SLL reduction ... See full document

... an optimization algorithm can be traced back to (Holland 1962) as a mixture of automata theory and theoretical ...for optimization which he named Genetic Algorithms ...an algorithm, the ... See full document

... While these methods provide many characteristics that make it the method of choice for the researchers in problem domain, the most important reasons are: the paradigms use direct ‘fitness’ information instead of ... See full document

... (EM) algorithm for sampling on the medical data obtained from Pima Indian Diabetes (PID) data ...by using particle swarm optimization is more as compare to other optimization algorithms named ... See full document

... ABC) Algorithm for Continuous Optimization ...(ABC) algorithm to progress its local search ability and convergence ...from Genetic Algorithm (GA) with original ABC ...deployment ... See full document

... antenna arrays are not effective as they often encounter local minima and are not able to find a global ...are genetic algorithms (GA) [1, 2], differential evolution (DE) [2–4], ant colony ... See full document

... time optimization problem from different ...of genetic algorithms with fine tuning capabilities of the simulated annealing technique to achieve an efficient algorithm for the ...(CP) ... See full document

... Memetic algorithm (MA) is motivated by Dawkin’s notion of a meme as a unit of information is processed and enhanced by the communicating ...of genetic algorithm and local ... See full document