The problem considered concerns data reduction for machine learning. Data reduction aims at deciding which features and instances from the training set should be retained for further use during the learning process. Data reduction results in increased capabilities and generalization properties of the learning model and a shorter time of the learning process. It can also help in scaling up to la...

School timetabling is way of distributing resources such as teachers and classrooms over a fixed period of time. This task can be difficult and very time-consuming. If the process of generating timetables is automated with the help of algorithms then this can help save both time and money for the educational institute. In this thesis a general timetable is presented along with a set of constrai...

The multi-agent system for real estate appraisals MAREA was extended to include aggregating agents, which are equipped with heuristic optimization algorithms and can create heterogeneous ensemble models, was presented in the paper. The major part of the study was devoted to investigate the predictive accuracy of heterogeneous ensembles comprising fuzzy models and to compare them with homogenous...

The paper presents an application of an adapted genetic algorithm to a real world instance of the timetable problem. The results of its application are described. We also compare our results with simulated annealing and tabu search. Abstract In this paper we present the results of an investigation of the possibilities offered by genetic algorithms to solve the timetable problem. This problem ha...

This paper presents two metaheuristic algorithms, namely taboo search and simulated annealing, applied to the control of a flow rack automated storage retrieval system (AS/RS). These metaheuristic algorithms are developed to control the retrieval machine of the AS/RS in order to minimize the retrieval cycle time. Results of these metaheuristic algorithms are compared to classical heuristics and...

Ef®cient resource utilisation in future cellular systems is related to the control of the signalling load imposed by the location update and paging operations. Important means for controlling this load is the apropero planning of location areas. In this paper we de®ne and solve a version of the location area planning problem. Starting from a formal de®nition and an optimal formulation of the pr...

Frequently, a set of conserved (common) motifs in a group of functionally related biological sequences (DNA/RNA or proteins) has a specific biological function. Determination of compact groups of these common patterns is a prerequisite for their efficient modeling. We discuss some of the most crucial aspects of computer implementation of three heuristic algorithms which can be used in computati...

Flexibility has become an important priority in the formulation and implementation of manufacturing strategies. This in turn has opened up a new class of design problems for such systems. Flexible assembly systems (FAS), consisting of a variety of processors and operations, provide the opportunity for improving product manufacturing flexibility, hence gaining competitive advantages. This paper ...

سإ يب يجلا ةيعانصلا رامقلأاب ةدوصرملا ةيحاسملا تاكبشلا ءاشنإ ةبوعص دادزت (GPS) دايدزا عم ةبوعصلا ةغلاب لاـ َّ عفلا لحلا ىلع ةينبملا اهميمصت ةيلمع حبصت يلاتلابو اهمجح . يب يجلا ةكبش د َّ دحت ةينمزلا تاسايقلا وأ تاراشلاا دصرب ةيحاسملا سإ (session) لا ةيوستلا طاقن نيب ةلكشتم (station) لابقتسلاا ةزهجأ ةطساوب (receiver) طاقنلا هذه ىلع ةعضومتملا . نع ثحبلا ةيفيآ ةلاقملا هذه نيبت ةنكمم ةلوَدْـجَ لضفأ ىلع لو...

Improper assignment of gates may result in flight delays, inefficient use of the resource, customer’s dissatisfaction. A typical metropolitan airport handles hundreds of flights a day. Solving the gate assignment problem (GAP) to optimality is often impractical. Meta-heuristics have recently been proposed to generate good solutions within a reasonable timeframe. In this work, we attempt to asse...