Abstract It has been shown that evolutionary algorithms are able to construct suitable search strategies for classes of Constraint Satisfaction Problems (CSPs) in Programming. This paper is an explanation the use multi-objective optimisation contrast simple additive weighting techniques with a view develop CSPs. A hierarchical scheme employed select candidate strategy from Pareto frontier final...

The crew cost constitutes 20% of the direct operating in airline operations after aircraft fuel cost. Effective scheduling can save tens millions dollars to airlines and result low-cost flight tickets for passengers improved quality life crew. pairing requires addressing union expectations, company rules, regulations countries' civil aviation authorities. In this study, bi-objective goal progra...

<p style='text-indent:20px;'>We consider a complex multi-objective programming problem (CMP). In order to establish the optimality conditions of (CMP), we introduce several properties optimal efficient solutions and scalarization techniques. Furthermore, certain parametric dual model is discussed, their duality theorems are proved.</p>

This article overviews a recent PhD dissertation representing the first effort at many-objective optimization in job shop scheduling (JSS). The thesis develops genetic programming hyperheuristic (GP-HH) approaches to evolve effective dispatching rules for many conflicting objectives JSS problems. aim is develop GP-HH methods that alleviate issues related problems and new capable of enhancing sh...