### TABLE III NOTATION FOR THE TRAFFIC-ENGINEERING PROBLEM

2005

Cited by 8

### TABLE III NOTATION FOR THE TRAFFIC-ENGINEERING PROBLEM

2005

Cited by 8

### Table 1: The mixed integer formulation (ESPMIP) for the engine scheduling problem

"... In PAGE 4: ... We now introduce the variables: ze P one if pattern P BE Pe is assigned to engine e BE E; zero otherwise xe P1P2 one if pattern P2 BE Pe is immediately served after P1 BE Pe on e BE E; zero otherwise Ti (non-negative) arrival time in location i BE N of the visiting engine Note, that for the arrival times we need not specify which engine arrives at a particular location since this information is already covered by the z variables. Table1 shows the entire formulation (2) through (11), denoted by (ESPMIP). The given objective function (2) serves as convenient example only.... ..."

### Table 1: The mixed integer formulation (ESPMIP) for the engine scheduling problem

2002

"... In PAGE 4: ... We now introduce the variables: ze P one if pattern P a18 a33 e is assigned to engine e a18a71a4 ; zero otherwise xe P1P2 one if pattern P2 a18 a33 e is immediately served after P1 a18 a33 e on e a18a72a4 ; zero otherwise Ti (non-negative) arrival time in location i a18a20a5 of the visiting engine Note, that for the arrival times we need not specify which engine arrives at a particular location since this information is already covered by the z variables. Table1 shows the entire formulation (2) through (11), denoted by (ESPMIP). The given objective function (2) serves as convenient example only.... ..."

### Table 2. Comparison of the reference and the optimal solution for the water engineering problem. Pumps Values of the decision variables

"... In PAGE 5: ... The problem was solved using the proposed software ar- chitecture with the FEM{simulation system FEFLOW and a Polytope algorithm ([21]) as the optimization algorithm. In Table2 , the hereby computed solution is compared with... ..."

### Table 2: The constraints in the above table partially model a civil engineering problem concerning ventillation in a steel-framed computer-building

1998

"... In PAGE 2: ... Instead of negotiating about single solutions without knowing whether a valid solution to the problem exists, design- ers negotiate within feasible spaces in order to nd the best solution. Table2 shows a selection of the con- straints which model the ventilation ducts example. Constraint satisfaction techniques: In order to employ solution spaces as described, techniques to determine and combine solution spaces are needed, together with an adequate communication platform.... ..."

Cited by 2

### Table 1 The Mixed Integer Formulation (ESPMIP) for the Engine Scheduling Problem minimize summationdisplay

"... In PAGE 3: ... Note that for the arrival times we need not specify which engine arrives at a particular location because this information is already covered by the z variables. Table1 shows the entire formulation (2) through (11), denoted by (ESPMIP). The given objective function (2) serves as a con- venient example only.... ..."

### Table 1 Features of real-life engineering optimisation problems [13] Classification schemes

"... In PAGE 5: ...optimisation problems are outlined below and are summarised in Table1 [13]. 4.... ..."

### Table 1. Global optimum and existing results [ 8, 19] for engineering design problems

2004

"... In PAGE 6: ...Table1 summaries the global optimum F* and the existing results [ 8, 19] by other algorithms, include the mean values ( B F ) and the evaluation times (TE). Table 1.... ..."

Cited by 2

### Table 2: Components of Engineering Learning Tools for Each Problem-Solving Module.

2006

"... In PAGE 7: ... Therefore, in favor of less programming and familiarity with multimedia authoring tools, we have used Macromedia DirectorTM, Flash MX, and Authorware MX. Package Development In this study, three prototype of the engineering learning packages based on Windows platform under the components listed in Table2... ..."