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...

This paper explores the feasibility of implementing an evolutionary algorithm for text structuring using the heuristic of continuity as a fitness function, chosen over other more complicated metrics of text coherence. Using MCGONAGALL (Manurung et al., 2000) as our experimental platform, we show that by employing an elitist strategy for stochastic search it is possible to quickly reach the glob...

In the framework of my Ph.D. course, I developed a novel Multi-objective Evolutionary Algorithm (MOEA), namely the GeDEA-II, which features a Simplex-based crossover operator. The comparison among GeDEA-II and three modern elitist methods, on state-of-the-art multi-objective problems, clearly indicates that the performance of GeDEA-II is superior. Finally, a test case is presented, regarding th...

"demographic time-bomb", and Project 2000, the authors provocatively conclude that even in the next century the handywomen/supportworker will still provide care,-"No elitist programme of nursing has yet been allowed to succeed. Would an alternative based on open entry and continuing opportunity have more prospects of serving both the occupation and its public?" Currently this must be the best s...

We present an evolutionary tool to solve free-route Air Traac Flow Management problems within a three-dimensional air space 5]. This is the rst evolutionary tool which solves free-route planning problems involving a few hundred aircraft. We observe that the importance of the recombination operator increases as we scale to larger problem instances. The evolutionary algorithm is based on a varian...

This paper explores an image processing application of optimization techniques which entails interpreting noisy sensor data. The application is a generalization of image correlation; we attempt to find the optimal gruence which matches two overlapping gray scale images corrupted with noise. Both tabu search and genetic algorithms are used to find the parameters which match the two images. A gen...

This work studies the behavior of three elitist multiand many-objective evolutionary algorithms generating a high-resolution approximation of the Pareto optimal set. Several search-assessment indicators are defined to trace the dynamics of survival selection and measure the ability to simultaneously keep optimal solutions and discover new ones under different population sizes, set as a fraction...

Given that the basic cuckoo search algorithm is vulnerable to local optimum and unsatisfactory calculation precision, chaotic operator (CO), employed as local algorism to optimize elitist individuals in the population, can effectively enhance the properties of cuckoo search (CS) algorithm. Tested by 15 benchmark high-dimensional functions, the experiment result indicates that chaotic cuckoo sea...

Good politics has always seen well-funded, public provision of education as a vital pathway to delivering the Good Society. This article draws on recent evidence from Germany and the UK to show that even in more equal societies, such as Germany, attention still needs to be paid by progressive politicians to education in particular, the importance of non-elitist, comprehensive education systems ...