We propose a new accurate Micro Genetic Algorithm ( GA) for multi-objective optimization problems that we call Micro-FAME (or FAME). The distinctive feature of FAME with respect to the other existing multi-objective algorithms in the literature is its high elitism and fast convergence, produced ...
The library’s source code was modified to tailor the algorithm towards the microcomb generation task in this work. In particular, the crossover and parent selection operations were customized. The fitness function and multi-objective formulation of the optimization problem were fully developed for ...
Micro Aerial Vehicle Path Planning and Flight with a Multi-objective Genetic AlgorithmDue to its importance for robotics applications, robotic path planning has been extensively studied. Because optimal solutions can be computationally expensive, the need for good approximate......
They can optimize the HMGS in a single or multi-objective framework considering technical and economic objectives and finding the accurate system parameters [23]. Genetic algorithm (GA) was commonly used to optimize HMGS that have multiple decisions' variables, and its performance was reported [24]...
By applying a weight-sum technique, the multi-objective optimization problem is converted into a single objective, with convex functions representing the objective functions. The Lyapunov function method combined with convex analysis is utilized to assess the algorithm’s performance, ensuring that the ...
In section “Iterative map-based self-adaptive crystal structure algorithm (SaCryStAl)”, we delve into the implementation of the proposed Iterative map-based Self-Adaptive Crystal Structure Algorithm (SaCryStAl) to address the multi-objective energy management problem. Section “Modeling of a microgri...
A multi-objective Genetic Algorithm was used by Kayo and Ooka [112] to examine the trade-off between energy use and costs (both capital and operating) of a distributed energy system. This was the logical extension of the previous work to the multi-objective case, and demonstrated the trade-...
In terms of the solving algorithm of the optimization planning design model, the method employs a multi-objective genetic algorithm based on NSGA-II to implement multi-objective problem-solving, thereby allowing a multi-objective optimization of the three major objectives of economy, reliability, and...
The optimization analysis employs different design of Experiment (DOE) techniques to make initial population that is governed by multi-objective genetic algorithm. Hence, the robust design is achieved for 3-axis micro machine tool using the essential knowledge base. The technique is used to remove ...
1) micro multi-objective genetic algorithm 微型多目标遗传算法 1. Themicro multi-objective genetic algorithmwith high efficiency was adopted. 提出一种高效的薄板冲压成形变压边力多目标优化方法,该方法以减少冲压件的成形缺陷为优化目标,以变压边力曲线的特征参数为优化变量,采用自主开发的微型多目标遗传算法作为...