This paper presents an efficient and reliable swarm intelligence-based approach, namely elitist-mutated particle swarm optimization EMPSO technique, to derive reservoir operation policies for multipurpose reservoir systems. Particle swarm optimizers are inherently distributed algorithms, in which the solution for a problem emerges from the interactions between many simple individuals called par...

This paper examines the degree of elitism of public education under two different social objectives. It illustrates a potential conflict between welfare and social mobility. In the absence of private supplementary education, utilitarian welfare increases with the degree of elitism of the public education system. On the other hand, elitism decreases the steady state proportion of heterogenous dy...

Discriminative models such as logistic regression profit from the ability to incorporate arbitrary rich features; however, complex dependencies among overlapping features can often result in weight undertraining. One popular method that attempts to mitigate this problem is logarithmic opinion pools (LOP), which is a specialized form of product of experts model that automatically adjusts the wei...

Corresponding Author: Rabczuk, T./Ilyani Akmar, A.B. Institute of Structural Mechanics, Bauhaus University of Weimar, Marienstrasse 15, 99423 Weimar, Germany Faculty of Civil Engineering, MARA University of Technology, 40450 Shah Alam, Selangor, Malaysia Email: [email protected] Email: [email protected] Abstract: In this study, an application of evolutionary multi-objective o...

The multi-tier Covariance Matrix Adaptation Pareto Archived Evolution Strategy (m-CMA-PAES) is an evolutionary multi-objective optimisation (EMO) algorithm for real-valued optimisation problems. It combines a nonelitist adaptive grid based selection scheme with the efficient strategy parameter adaptation of the elitist CovarianceMatrix Adaptation Evolution Strategy (CMA-ES). In the original CMA...

Ant System algorithms are nature-inspired population-based metaheuristics derived from the field of swarm intelligence. Seemingly, the ant system has a lack of search diversity control since it has only a global pheromone update that intensifies the search. Hence, one or more assistant mechanisms are required to strengthen the search of the ant system. Therefore, we propose, in this study, an e...

This paper applies the elitist genetic algorithm to electric vehicle routing problem with time window. In initialization, proposes an improved neighbor initialization method for adaptive algorithm. The is used select nearest EV customer as next route be scheduled and make start from suitable first in of GA. It makes begins a neighboring directionality, which can inherited selection, crossover, ...