Fig 1 shows the general flow chart of GA and the main components that contribute to the overall algorithm. The operation of the GA starts with determining an initial population whether …

In this paper, we design a parallel genetic algorithm that divides the coverage problem of IoTs with massive nodes into many small problems and then solves these problems using Hadoop in...

In this paper, an overview and tutorial is presented describing genetic algorithms (GA) developed specifically for problems with multiple objectives. They differ primarily from traditional GA by …

Jun 26, 2019 · Multi-objectives Genetic Algorithm (MOGA) is one of many engineering optimization techniques, a guided random search method. It is suitable for solving multi …

Sep 1, 2006 · In this paper, an overview and tutorial is presented describing genetic algorithms (GA) developed specifically for problems with multiple objectives. They differ primarily from …

Oct 25, 2022 · Among them, multi-objective genetic algorithms (MOGAs) are well suited for solving optimization problems of complex, multi-purpose, multi-reservoir systems because of …

Figure 1 shows the flowchart of Multi-objective Genetic Algorithm. In this study chromosomes are coded by real values. To handle the constraints in MOGA, the natural self-adaptation...

Aug 13, 2023 · Multi-objective genetic algorithms can be classified according to their approach to solution evaluation and selection methods. We will present two main classes: Pareto-based …

Flow chart of the multi-objective genetic algorithm (MOGA) optimization process. [...] This work focuses on developing a novel method to optimize the fabrication conditions of polyamide...

Feb 20, 2023 · This research developed a multi-objective optimization model based on three dimensions of maximizing WEFNI, minimizing environmental impacts, and maximizing social …