[PDF] Top 20 The Gradient Free Directed Search Method as Local Search within Multi-objective Evolutionary Algorithms

... the Directed Search (DS) method [21] for the use within ...requires gradient information which restricts its ...ent free. Even more, the computation of the search ... See full document

... hybrid evolutionary algorithm to solve multi-objective multicast routing problems in telecommunication ...genetic local search, aiming at a more flexible and effective exploration and ... See full document

... The evolutionary algorithms (EAs) have provided a powerful and effective method of exploring a massive search ...multiobjective evolutionary algorithms (MOEAs) also used for the ... See full document

... based measures separately and identify the best function of each class. We then compare the best set-based one with the best sequence-based one. Based on the data collected from the experiment, we conclude that NLCS is ... See full document

... X-pass method includes single-pass method, biased sampling method, multi-pass method, and adaptive sam- pling ...rule, multi-pass method chooses the best solution among ... See full document

... the objective function values representing their fitness are often computed using sophisticated and realistic numerical simulations of physical ...-individuals within the evolution process- in order to ... See full document

... single objective optimization problem (Geem et ...a local optima solution instead of the global optima point (Mahdavi et ...The local-optima trap could deter the algorithm from finding the desired ... See full document

... First, N is set as 10,000. Power-law topology is adopted and the exponent  is set as 2.1, which is analog to the real world situation The case n = 1 is analog to RW with K equal to the number of first neighbors, which ... See full document

... primary objective is the discovery of process models based on available event log ...mining algorithms have been proposed recently, but there does not exist a widely-accepted benchmark to evaluate and ... See full document

... the gradient method and sequential quadratic ...conjugate gradient method with the FE method to investigate how various loading conditions affect the thickness distribution in the tube ... See full document

... Cuckoo Search algorithm works as ...Cuckoo Search algorithm discovers and removes the worse nests with probability ...Cuckoo Search relies upon three idealized rules: ... See full document

... random search to some extent uses training to select the next ...the search in this case are of a statistical ...subsequent search and the next step is not changed. Restructuring of the search ... See full document

... evaluated multi-objective evolutionary algorithm (MOEAs) methods with SNN such as multi-objective genetic algorithm (MOGA) with SpikeProp and showed that this algorithm performs well ... See full document

... The rest of this paper is organized as follows. In the second section, we propose the kind of nonmontone line search method with perturbations and prove its conver- gence property. In the third section, we ... See full document

... a local search algorithm for the unweighted max cut problem, a special case of the max k-cut problem when k = 2, and showed that the approximation ratio of his algorithm is 1 2 ... See full document

... Many scientists have created simulations of computer with various types of interpretations of movements of organisms in fish school and even bird flock. Reynolds and Heppner, Grenander are some of the notable persons who ... See full document

... Abstract—Evolutionary algorithms can efficiently solve multi-objective optimization problems (MOPs) by obtaining diverse and near-optimal solution ...of multi-objective ... See full document

... Figure 1 demonstrates the steps of the algorithm and highlights the results obtained by its use. Consider the set of 24 points in the bi-objective space depicted in the top left panel of Figure 1. Suppose that the ... See full document

... a gradient search method which starts with a given observation point, and moves it in the direction of the maximal gradient until a local maximum is ...area gradient direction ... See full document

... Two experimental conditions were however found to result in power law deviations for large ETV sizes. The first was the steady introduction of new individuals that have no relation to others in the population (i.e. ... See full document