Product portfolio management (PPM) is a critical decision-making for companies across various industries in today's competitive environment. Traditional studies on PPM problem have been motivated toward engineering feasibilities and marketing which relatively pay less attention to other competitors' actions and the competitive relations, especially in mathematical optimization domain. The key c...

Due to the adverse impact of seaborne sulfur emissions on coastal areas, Ministry Transport People’s Republic China is planning implement a 0.1% cap bunker fuel in domestic emission control area (DECA) 1 January 2025. As current DECA width only 12 NM, ships can bypass reduce use high-priced ultra-low oil (ULSFO) and thus save costs. The purpose this study first assess effect China’s 12-NM-wide ...

Gene knockout has been used as a common strategy to improve microbial strains for producing chemicals. Several algorithms are available to predict the target reactions to be deleted. Most of them apply mixed integer bi-level linear programming (MIBLP) based on metabolic networks, and use duality theory to transform bi-level optimization problem of large-scale MIBLP to single-level programming. ...

Abstract As a flexible unit that can respond quickly, CSP stations be included in the planned power source of supply planning, which effectively improve consumption volatile new energy and resource utilization. This paper mainly studies optimal planning grids containing fluctuating sources proposes joint based on bi-level programming model. The results calculation examples show proposed model c...

To ensure the equity of exclusive bus lane (EBL) allocation under multimodal traffic conditions, a bi-level programming model is first constructed. The upper-level minimum total system cost considering Gini coefficient and lower-level constructed stochastic user equilibrium (SUE) based on logit loading. Secondly, heuristic algorithm combining an improved genetic (GA) method successive average (...

This paper presents a bi level large scale multi objective quadratic programming problem (BLLSMOQPP) with fuzzy parameters in the objective functions problem. In the first phase convert the fuzzy parameters of the problem to equivalent crisp problem to make it easy in solving. In the second phase use Taylor series to convert the quadratic problem to linear problem to be easy for solving with th...