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Estimation-of-distribution algorithms (EDAs) are optimization algorithms that learn a distribution from which good solutions can be sampled easily. A key parameter of most EDAs is the sample size (population size). Too small values lead to the undesired ...

Existing data acquisition technologies desire further improvement to meet the increasing need for big, accurate, and high‐quality data collection. Most of the collected data have redundant information such as noise. To improve the classification ...

Node localisation in wireless sensor networks is a common and important practical application problem. Among the many localisation algorithms, the MDS-MAP algorithm is a more effective one. However, the positioning effect of the MDS-MAP algorithm is not ...

Genetic algorithm (GA) is one of the most widely used meta-heuristic optimization tools to solve a variety of problems. It is a powerful tool for global optimization. However, like other heuristic optimization techniques, it has a probabilistic ...

In the context of black box optimization, one of the most common ways to handle deceptive attractors is to periodically restart the algorithm. In this paper, we explore the benefits of combining the simple (1 + 1) Evolutionary Algorithm (EA) with the ...

In this paper we propose a termination mechanism and the initial step-size control mechanism for restart strategies in the CMA-ES. The proposed mechanism utilizes a history of the distribution parameters from past restarts to early terminate an ...

Restart strategies are widely used in today's conflict-driven clause learning SAT solvers, such as fixed-interval policy, geometric policy, Luby's policy, nested restart scheme, adaptive restart strategy, counter implication restart and so on. It has ...

This paper will introduce a new differential evolution (DE) algorithm called DE/cluster. DE/cluster applies a simple hierarchical clustering model to mine the distribution information of the DE population every K generations to make a dynamic partition ...

Proper selection of variables is necessary when dealing with large number of input dimensions in regression problems. In the paper, we investigate the behaviour of landscape that is formed when using Delta test as the optimization criterion. We show ...

In Luxembourg, a cooperation of banks founded a company to share the costs and benefits of a disaster recovery center. The business model based on the recovery requirements of financial institutions, and the organizational and technical architectures ...