… parameters, however, most of these algorithms suffer from the high computational burden,
local optima trap, and frequent parameter … ), to identify the electrical parameters of various PV …

In this article, we propose an evolutionary algorithm based on layered prediction (LP) and
subspace-based diversity maintenance (SDM) for handling dynamic multiobjective …

… of the Kalman filter, by varying the values of the two shape parameters u and v. The beta
density function can take a great diversity of shapes depending on the values of the two …

… of implementing specific diversity maintenance methods into the … and compare three diversity
maintenance methods and their … to tune the parameters for the algorithm to work efficiently. …

… diversity by rewarding behavioral novelty. In this paper the effectiveness of fitness, novelty,
and diversity maintenance … In a biped locomotion domain, genotypic diversity maintenance …

… dissemination mechanisms, diversity maintenance strategies, parameter tuning, and …
and the diversity maintenance strategy. The section concludes by identifying the optimization …

… a parameter set that work best for all settings. We propose an ensemble learning framework,
where accurate and diverse … For diversity, we measure the similarity among base learner …

… diversity at regional scales If environmental heterogeneity is essential to the maintenance of
diversity … be important in governing patterns of species diversity at the larger spatial scale of …

… -based transfer learning and diversity maintenance to efficiently identify a high-quality initial
… Subsequently, a random diversity maintenance strategy is developed to generate diverse …

… This paper proposes a distributed GA with adaptive parameter controls for solving ordered
problems such as the travelling salesman problem (TSP), capacitated vehicle routing problem …