recommender systems (rs) provide personalized recommendation according to user need by analyzing behavior of users and gathering their information. one of the algorithms used in recommender systems is user-based collaborative filtering (cf) method. the idea is that if users have similar preferences in the past, they will probably have similar preferences in the future. the important part of col...

This paper describes the Software Project Scheduling Problem (SPSP) as a combinatorial optimization problem. In this problem raises the need for a process to assign a set of resources to tasks for a project in a given time, trying to decrease the duration and cost. The workers are the main resource in the project. We present the design of the resolution model to solve the SPSP using an algorith...

Motor Imagery (MI) electroencephalography (EEG) is widely studied for its non-invasiveness, easy availability, portability, and high temporal resolution. As for MI EEG signal processing, the high dimensions of features represent a research challenge. It is necessary to eliminate redundant features, which not only create an additional overhead of managing the space complexity, but also might inc...

The synchronizer gear hub has a complex structure and involves wide variety of processing equipment. It is difficult to trace the reason for abnormal fluctuation quality by simply detecting data local conditions. Based on analysis machining error hub, an tracing method based radial basis function (RBF) neural network which optimized variable step firefly algorithm (FA) was proposed. FA-RBF mode...

Recycled concrete from construction waste used as road material is a current sustainable approach. To provide feasible suggestions for civil engineers to prepare recycled with high flexural strength (FS) the pavement, present study proposed three hybrid machine learning models by combining support vector (SVM), decision tree (DT) and multiple linear regression (MLR) firefly algorithm (FA) compu...

It is significant to discover a global optimization in the problems dealing with large dimensional scales to increase the quality of decision-making in the mining operation. It has been broadly confirmed that the long-term production scheduling (LTPS) problem performs a main role in mining projects to develop the performance regarding the obtainability of constraints, while maximizing the whole...

nowadays, congestion management is one of the major tasks accomplished by system operators to warrant the operation of transmission system within operating limits. this has resulted in unanticipated congestion interfaces in regional transmission systems. the system is, however, unable to evolve at a rate which is required to meet the quickly changing demand of competitive markets. to make the m...

Firefly algorithm is a recently added member of the swarm intelligence heuristics family. In this paper the firefly algorithm is adjusted and applied to integer programming problems. In order to deal with integer programming problems, firefly algorithm rounds the parameter values to the closest integer after producing new solutions. The performance of firefly algorithm is tested on seven proble...

The main aim of the present paper is to propose advanced multi-objective optimization algorithms (MOOAs) to tackle truss structure optimization problems. The proposed metaheuristic algorithms are based on the firefly algorithm (FA) and bat algorithm (BA), which have been recently developed for single-objective optimization. In order to produce a well distributed Pareto front, some improvements ...