During last decades, developing multi-objective evolutionary algorithms for optimization problems has found considerable attention. Flexible job shop scheduling problem, as an important scheduling optimization problem, has found this attention too. However, most of the multi-objective algorithms that are developed for this problem use nonprofessional approaches. In another words, most of them c...

Elitism is a common concept in the standard Genetic Algorithm (GA), but one that has received little to no research when considered on spatial coevolutionary GAs. This paper attempts to address this by implementing and analyzing elitism mechanisms within a spatial coevolutionary system. To this end we develop a new globally selected local elitism and compare it with the more basic strictly non-...

This paper presents an application of elitist Non-dominated Sorting Genetic Algorithm (NSGA-II), to efficiently schedule a set of independent tasks in a heterogeneous distributed computing system. This scheduling problem is a bi-objective problem considering two objectives. The first objective is minimization of makespan and the second one being the minimization of flowtime. As a multi-objectiv...

NSGA methodology discussed in Section 3.1 suffers from three weaknesses: computational complexity, non-elitist approach and the need to specify a sharing parameter. An improved version of NSGA known as NSGA-II, which resolved the above problems and uses elitism to create a diverse Pareto-optimal front, has been subsequently presented (Deb et al 2002). The main features of NSGA-II are low comput...

NSGA ( [5]) is a popular non-domination based genetic algorithm for multiobjective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGAII ( [3]) was developed, which has a better sorting algorithm , incorporates elitism...

This paper studies the influence of elitism in Evolutionary Multiobjective Optimization. The true efficiency of inserting elitism in these algorithms was not yet sufficiently developed. Many algorithms for multiobjective optimization use different methods to keep the best individuals (the elite) founded on the duration of the search process. The problem is how this elitism can be preserved and,...

Seasonal influenza (also known as flu) is responsible for considerable morbidity and mortality across the globe. The three recognized pathogens that cause epidemics during winter season are A, B C. virus particularly dangerous due to its mutability. Vaccines an effective tool in preventing seasonal influenza, their formulas updated yearly according WHO recommendations. However, order facilitate...