Due to business and environmental issues, the efficient design of an integrated forward/reverse logistics network has recently attracted more attention from researchers. The significance of transportation cost and customer satisfaction spurs an interest in developing a flexible network design model with different delivery paths. This paper proposes a flexible mixed-integer programming model to ...

88 AI MAGAZINE The Twenty-Second International Conference on CaseBased Reasoning (ICCBR), the premier international meeting on research and applications in case-based reasoning (CBR), was held from Monday September 29 to Wednesday October 1, 2014, in Cork, Ireland. ICCBR is the annual meeting of the CBR community and the leading conference on this topic. Started in 1993 as the European Conferen...

Many methods to codify Artificial Neural Networks have been developed to avoid the defects of direct encoding schema, improving the search into the solution's space. A method to estimate how the search space is covered and how are the movements along search process applying genetic operators is needed in order to evaluate the different encoding strategies for Feedforward Neural Networks. A firs...

A new encoding method for optimizing neural network structures is proposed. It is based on an indirect encoding method with variable length gene code. The search ability for finding an optimal solution is higher than the direct encoding methods because redundant information in gene code is reduced and the search space is also reduced. The proposed method easily operates adding and deleting hidd...

Huge color class redundancy makes the graph coloring problem (GCP) very challenging for genetic algorithms (GAs), and designing effective crossover operators is notoriously difficult. Thus, despite the predominance of population based methods, crossover plays a very minor role in most state-of-the-art approaches to solving the GCP. Two main encoding methods have been adopted for heuristic and G...

In this paper we compare the evolutionary and run time behaviours of two forms of indirect encoding and a direct encoding. The indirect encodings are comparable to approaches used in the emerging field of developmental systems. We evolve a developmental encoding based on a cellular automaton to grow bit patterns of predefined complexities (in the Kolmogorov sense), and compare its behaviour to ...

Sensors are an essential element in a wide range of applications. As the number sensors increases, so does amount data collected with them. This raises challenge efficiently processing this data. Spiking Neural Networks (SNNs) represents promising approach to solve problem through event-based, parallelized processing. For SNNs be genuinely efficient, some fundamental challenges arise, like conv...