… 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 …

… To study this case first, we introduce a parameter ρ to define the deviation from proportionality,
with urn:x-wiley:00220477:media:jec13035:jec13035-math-0081 meaning no deviation, …

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

… 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. …

… 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 …

… of diversity maintenance. We describe a novel genotypic diversity learning method named
Grid-Diversity-… settings for each parameter in a brief empirical investigation. For the grid size …

… -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 …

… This premature convergence is often attributed to a loss of diversity through selective …
Identifying optimal settings for these parameters for maintaining population diversity is a long-…