[PDF] Top 20 Gestión estratégica de la propiedad industrial

... a multi-objective improved teaching-learning based optimization (MO-ITLBO) algorithm for unconstrained and constrained multi-objective ... See full document

... mathematical optimization on large-scale engineering problems have contributed to the development of alternative ...multimodal problems having large number of variables and non-linear ... See full document

... Teaching–learning-based optimization algorithm is a teaching–learning process inspired algorithm recently proposed by Rao et ...(2012) based on the effect of ... See full document

... one objective, assuming that solution p and solution q are not the duplicate ...particular objective(s) in which it is better than solution q which may improve solution q in those particular ...handle ... See full document

... intelligence based algorithms are probabilistic algorithms and require common controlling parameters like population size, number of generations, elite size, ...own algorithm-specific control ...HS ... See full document

... dimensional problems with reasonably less function ...new optimization techniques based on teaching learning approach known as Teaching Learning based ... See full document

... considered unconstrained benchmark functions have different characteristics like unimodality/multimodality, separability/non-separability and ...TLBO algorithm with other evolutionary and swarm intelligence ... See full document

... deluge algorithm was introduced by Dueck ...deluge algorithm also accepts a worse solution if the quality of the solution is less (for the case or minimisation) than or equal to some given upper boundary ... See full document

... the multi-objective optimization algorithm and better synthesize the noise image, a kind of adaptive wireless network multi-objective optimization algorithm ... See full document

... Figure 1 shows the typical network structure of IoV, including three types of communication such as Vehicle-to-vehicle , Vehicle-to-Road Side Unit (RSU) and Road Side Unit to the ...Destination Based ... See full document

... Our multi-objective choice function based hyper-heuristic (HH CF) is tested over both benchmark test problems ...the multi-objective design of vehicle crashworthi- ness with two ... See full document

... of objective functions of non-superior points were mapped in a range of 0 to ...all objective-functions, the optimal point, which is called D, has the least summation of mapped objective ...four ... See full document

... Before solving the problem the attention should also be given to the nature of the constraints. There may be two types of constraints hard and soft constraints. From the algorithm point of view, hard constraints ... See full document

... In multi-objective optimization, we have to find a set of solutions which is high competitive in terms of convergence, distribution, and ...the algorithm have better convergence but can not ... See full document

... dynamic multi-objective optimization problem (DMOP) is different from that of multi-objective optimization (MOP) for static ...The algorithm should not only have a fast ... See full document

... Table of Contents Introduction 3 1 : Local Optimization 1.1 Combinatorial Optimization 4 1.2 Continuous Optimization 4 1.2.1 Unconstrained Minimization 5 1.2.2 Constrained Minimization 9[r] ... See full document

... solving optimization problems, ant colony algorithm abstracts the position of food into the point of solution space, represents the potential ... See full document

... A known drawback of this method is the multitude of trials that must be performed, corresponding to different values of in the interval [0,1]. This requires substantial computing effort. Fig. 1 to Fig. 5 show the ... See full document

... the objective functions based on their importance ...one objective at a time, starting with the most important one and continuing the optimization procedure respecting the order of importance ... See full document

... one objective function to be optimized, as a result, only one solution will be found, which is a relatively easy ...in multi-objective optimization, which represents the tradeoff between ... See full document