In the first part (Part I) of this study, a novel fluidized bed reactor was modeled mathematically for methanol synthesis in the presence of in-situ water adsorbent named Sorption Enhanced Fluidized-bed Reactor (SE-FMR) is modeled, mathematically. Here, the non-dominated sorting genetic algorithm-II (NSGA-II) is applied for multi-objective optimization of this configuration. Inlet temperature o...

In this study, the performance of the algorithms of whale, Differential evolutionary, crow search, and Gray Wolf optimization were evaluated to operate the Golestan Dam reservoir with the objective function of meeting downstream water needs. Also, after defining the objective function and its constraints, the convergence degree of the algorithms was compared with each other and with the absolut...

The same correction applies to the corresponding author footnote on page 2689 where it reads: ∗Corresponding author. Yun-Zhi Liu, Department of Information Management and Decision Sciences, Northeastern University of School of Business Administration, Shenyang 110167, China. ∗Corresponding author. Yun-Zhi Liu, Department of Information Management and Decision Sciences, School of Business Admini...

Based on the square heat-generation body (HGB) with “arrow-shaped” high-thermal-conductivity channel (HTCC) model established in previous literature, we performed multi-objective optimization (MOO) maximum temperature difference (MTD) minimization and entropy-generation rate (EGR) as objectives for its performance. Pareto frontiers optimal set were obtained based NSGA-II. TOPSIS, LINMAP, Shanno...

abstract: background: depending on the importance of a good performance appraisal system to achieve organizational strategies, balanced scorecard technique provides a comprehensive foundation for interpreting and translating organization’s vision and strategy in a set of performance measures by regarding an overall view of organization in four perspectives included customer, internal processes,...

G languages provide a basis to infer best-fitting noncompensatory decision rules from full-rank conjoint data or partial-rank data such as consider-then-rank, consider-only, or choice data. Potential decision rules include elimination by aspects, acceptance by aspects, lexicographic by features, and a mixed-rule lexicographic by aspects (LBA) that nests the other rules. We provide a dynamic pro...