|Total results: 23||
|Emerging Research on Swarm Intelligence and Algorithm Optimization
Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence.
Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance
Pandian M. Vasant.
Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more...
Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches
Developments in metaheuristics continue to advance computation beyond its traditional methods. With groundwork built on multidisciplinary research findings; metaheuristics, algorithms, and optimization approaches uses memory manipulations in order to take full advantage of strategic level problem...
Hybrid Algorithms for Service, Computing and Manufacturing Systems: Routing and Scheduling Solutions
Jairo R. Montoya-Torres, Angel A. Juan, Luisa Huaccho Huatuco, Javier Faulin, Gloria L. Rodriguez-Verjan.
In a global, highly competitive environment, organizations face increasing economic pressure and customer demands for more complex products and services. Hybrid algorithms have the potential to play an important role in helping organizations achieve cost reduction and increased product development....
Modeling, Analysis, and Applications in Metaheuristic Computing: Advancements and Trends
The engineering and business problems the world faces today have become more impenetrable and unstructured, making the design of a satisfactory problem-specific algorithm nontrivial. Modeling, Analysis, and Applications in Metaheuristic Computing: Advancements and Trends is a collection of the latest...
Innovations in Data Methodologies and Computational Algorithms for Medical Applications
Medicine has, until recently, been slow to adapt to information technologies and systems for many reasons, but the future lies therein. Innovations in Data Methodologies and Computational Algorithms for Medical Applications offers the most cutting-edge research in the field, offering insights into case...
Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design
Anne Laurent, Marie-Jeanne Lesot.
Today, fuzzy methods provide tools to handle data sets in relevant, robust and interpretable ways, making it possible to model and exploit imprecision and uncertainty in data modeling and data mining. Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design presents innovative...
International Journal of Applied Metaheuristic Computing (IJAMC)
The International Journal of Applied Metaheuristic Computing (IJAMC) is a rigorous refereed journal that published high quality, innovative research on the latest developments, models, and applications within the transdisciplinary fields related to metaheuristic computing. Providing researchers...
International Journal of Computational Models and Algorithms in Medicine (IJCMAM)
The International Journal of Computational Models and Algorithms in Medicine (IJCMAM) provides comprehensive coverage of computational capabilities, prototypes, and algorithms for medical applications. IJCMAM covers methods for organizing, retrieving, managing, and discovering data found in medicine...
Using Evolutionary Based Approaches to Estimate Software Development Effort
Filomena Ferrucci, Carmine Gravino, Rocco Oliveto, Federica Sarro.
Software development effort estimation is a critical activity for the competitiveness of a software company; it is crucial for planning and monitoring project development and for delivering the product on time and within budget. In the last years, some attempts have been made to apply search-based...
The Application of Genetic Algorithms to the Evaluation of Software Reliability
Angel Fernando Kuri-Morales.
The evaluation of software reliability depends on a) The definition of an adequate measure of correctness and b) A practical tool that allows such measurement. Once the proper metric has been defined it is needed to estimate whether a given software system reaches its optimum value or how far away this...
Exploring a Self Organizing Multi Agent Approach for Service Discovery
Hakima Mellah, Soumya Banerjee, Salima Hassas, Habiba Drias.
The chapter presents a Multi Agent System (MAS) approach, for service discovery process to consider the user in the service discovery process involoving his interactions under constraints. The service discovery has become an emerging phenomena in software engineering and process engineering as well....
Object Oriented Software Testing with Genetic Programming and Program Analysis
Arjan Seesing, Hans-Gerhard Gross.
Testing is a difficult and costly activity in the development of object-oriented programs. The challenge is to come up with a sufficient set of test scenarios, out of the typically huge volume of possible test cases, to demonstrate correct behavior and acceptable quality of the software. This can be...
Assessment of Software Quality: A Fuzzy Multi-Criteria Approach
Praveen Ranjan Srivastava, Ajit Pratap Singh, Vageesh K. V.
Software Quality Assurance consists of monitoring the software engineering processes and ensuring the highest quality. But, the software quality attributes that we deal with are not explicit in the outset and cannot be easily measured. The same attribute has multiple significance and importance in...
Verification of Attributes in Linked Lists Using Ant Colony Metaphor
Soumya Banerjee, P. K. Mahanti.
The chapter describes the validation of the attributes of linked list using modified pheromone biased model (of Ant colony) under complex application environment mainly for kernel configuration and device driver operations. The proposed approach incorporates the idea of pheromone exploration strategy...