ISMSI

This paper addresses an optimization problem with two decision variable vectors. This problem can be divided into multiple subproblems when an arbitrary value is given to the first decision variable vector. In conventional genetic algorithms (GAs) for ...

This paper considers a non-cooperative real-time strategy game between two teams; each has multiple homogeneous players with identical capabilities. In particular, the first team consists of multiple land vehicles under attack by a team of drones, and ...

Hybrid multi-objective evolutionary algorithms have recently become a hot topic in the domain of metaheuristics. Introducing new algorithms that inherit other algorithms’ operators and structures can improve the performance of the algorithm. Here, we ...

Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Over the years, EAs have been successfully applied to many classification problems. In this paper, we propose to demonstrate the performance ...

This paper introduces the use of Genetic Algorithms to evolve fabric patterns from randomly generated seeds. The patterns are evolved from random, often dull coloring of the image, to bright multi-color patterns that are aesthetically pleasing in ...

The whale optimization algorithm is a metaheuristic inspired by the hunting strategy of humpback whales. This paper proposes a new discrete spiral whale optimization algorithm (DSWOA) to solve the traveling salesperson problem (TSP). Our approach uses ...

Computational intelligence approaches to data clustering have been successful in producing compact and well-separated clusters. In particular, particle swarm optimization (PSO) is deemed an effective approach to data clustering. This paper develops and ...

With the advent of more automated and unmanned systems, there is an increasing need for path planners. Intelligent path planners play an important role in the navigation of automated systems. In this work, the performance of an enhanced gain-ant colony ...

This paper proposes a multi-guide particle swarm optimization (MGPSO) algorithm which does not require tuning of its control parameters. Control parameter values are randomly sampled to satisfy theoretically derived stability conditions, eliminating ...

The citrate (citric acid, CA) coated ferrofluids with great magneto-optical retardance can meet the high magnetic responsive demand, especially in widely potential biomedical applications such as hyperthermia and magnetic resonance imaging. In this ...

Recently, a set-based particle swarm optimisation (SBPSO) algorithm was developed to find optimal polynomials for univariate polynomial approximation problems. This SBPSO algorithm employed a computational costly adaptive coordinate descent (ACD) ...

This paper discusses several controllers based on fuzzy logic and evolutionary concepts applied to a car racing simulation and their robustness to changing physics of the cars. The challenge is to design a car controller that passes the next three ...

Social bots are computer programs created for automating general human activities like the generation of messages. The rise of bots in social network platforms has led to malicious activities such as content pollution like spammers or malware ...

The efficiency of our vision highly depends on the light’s intensity. In dark images, the intensity of light in our surroundings is generally lower, reducing the efficiency of vision and the capability to distinguish different objects. An analysis of ...

The exploration and combination of high-level features is crucial for many machine learning tasks. At the same time, we cannot ignore the different importance of high-level features. In traditional machine learning predictive models, analyzing and ...

Structured pruning has been proposed for network model compression. Because most of existing structured pruning methods assign pruning rate manually, finding appropriate pruning rate to suppress the degradation of pruned model accuracy is difficult. ...

With the increased adaption of CCTV for surveillance, challenges in terms of retrieval have recently gained attention. Most Surveillance Video Systems can only retrieve footage based on its metadata, (date, time, camera location, etc.) which limits the ...