This is a preview. Log in through your library . Abstract This paper discusses the use of a Multi-Objective Genetic Algorithm to optimize a technology portfolio for a commercial transport. When ...

Abstract: In this paper, the production decision optimisation problem is investigated, and a multi-objective optimisation model is solved using Genetic Algorithm (GA). Firstly, for the problem of ...

Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 (8 pages) Abstract: Land use planning seeks to divide land, the most valuable resource in the hands of ...

Abstract: In the field of single objective optimization algorithms, learned evolutionary algorithms have achieved success in obtaining better performance than human-designed strategies. However, these ...

“Adaptation in time-triggered systems can be motivated by energy efficiency, fault recovery, and changing environmental conditions. Adaptation in time-triggered systems is achieved by preserving ...

300+ open source evolutionary algorithms 500+ open source benchmark problems Powerful GUI for performing experiments in parallel Generating results in the format of Excel or LaTeX table by one-click ...

Implementation of the algorithm proposed in the paper Multi-Objective Assortment Optimization: Profit, Risk, Customer Utility, and Beyond, and related numerical experiments. All algorithms in this ...

🔥 Patent Update | The State Grid Shanghai Energy Internet Research Institute has recently applied for a new patent titled "A Method and Device for Multi-Objective Heuristic Power Flow Equation Matrix ...