Dynamic Function Optimisation: Comparing the Performance of Clonal Selection and Evolution Strategies
نویسندگان
چکیده
This paper reports on novel work using clonal selection (CS) for dynamic function optimisation. A comparison is made between evolution strategies (ES) and CS, for the optimisation of two significantly different dynamic functions at 2, 5 and 10 dimensions. Firstly a sensitivity analysis was performed for both the CS and the ES for both fitness functions. Secondly the performance of the two algorithms was compared over time. The main finding of this work is that the CS optimises better than the ES in problems with few dimensions, although the ES optimises more slowly. At higher dimensions however, the ES optimises both more quickly and to a better level.
منابع مشابه
A hybrid CS-SA intelligent approach to solve uncertain dynamic facility layout problems considering dependency of demands
This paper aims at proposing a quadratic assignment-based mathematical model to deal with the stochastic dynamic facility layout problem. In this problem, product demands are assumed to be dependent normally distributed random variables with known probability density function and covariance that change from period to period at random. To solve the proposed model, a novel hybrid intelligent algo...
متن کاملEmergency department resource optimisation for improved performance: a review
Emergency departments (EDs) have been becoming increasingly congested due to the combined impacts of growing demand, access block and increased clinical capability of the EDs. This congestion has known to have adverse impacts on the performance of the healthcare services. Attempts to overcome with this challenge have focussed largely on the demand management and the application of system wide p...
متن کاملA New Immune Algorithm and Its Application
The traditional single clonal selection algorithm has a lot of disadvantages, for example, it is easy to be trapped into local optima, and it has a lot of massive redudacy iteration in its later period and inferior global search ability and so on. In this paper, a new artificial immune algorithm is proposed based on the clonal selection theory and the structure of anti-idiotype(IAAI), which is ...
متن کاملAn enhanced reliability-oriented workforce planning model for process industry using combined fuzzy goal programming and differential evolution approach
This paper draws on the “human reliability” concept as a structure for gaining insight into the maintenance workforce assessment in a process industry. Human reliability hinges on developing the reliability of humans to a threshold that guides the maintenance workforce to execute accurate decisions within the limits of resources and time allocations. This concept offers a worthwhile point of de...
متن کاملStrategy-aligned fuzzy approach for market segment evaluation and selection: a modular decision support system by dynamic network process (DNP)
In competitive markets, market segmentation is a critical point of business, and it can be used as a generic strategy. In each segment, strategies lead companies to their targets; thus, segment selection and the application of the appropriate strategies over time are very important to achieve successful business. This paper aims to model a strategy-aligned fuzzy approach to market segment ev...
متن کامل