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    Chapter and Conference Paper

    Virtual Measurement of the Backlash Gap in Industrial Manipulators

    Industrial manipulators are robots used to replace humans in dangerous or repetitive tasks. Also, these devices are often used for applications where high precision and accuracy is required. The increase of ba...

    Eliana Giovannitti, Giovanni Squillero in Swarm, Evolutionary, and Memetic Computing… (2020)

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    Chapter and Conference Paper

    Pareto-Based Self-organizing Migrating Algorithm Solving 100-Digit Challenge

    In this article, we describe the design and implementation of a variant version of SOMA named SOMA Pareto to solve ten hard problems of the 100-Digit Challenge. The algorithm consists of the following operatio...

    Thanh Cong Truong, Quoc Bao Diep in Swarm, Evolutionary, and Memetic Computing… (2020)

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    Chapter and Conference Paper

    Channel Assignment with Ant Colony Optimization

    In wireless communication arise various forms of optimization problems including channel assignment problem. There are many possible ways to assign channels to wireless links and our goal is to find the assign...

    Marko Peras, Nikola Ivkovic in Swarm, Evolutionary, and Memetic Computing… (2020)

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    Chapter and Conference Paper

    Boundary Strategies for Self-organizing Migrating Algorithm Analyzed Using CEC’17 Benchmark

    This paper is focused on the influence of boundary strategies for the popular swarm-intelligence based optimization algorithm: Self-organizing Migrating Algorithm (SOMA). A similar extensive study was already ...

    Tomas Kadavy, Michal Pluhacek in Swarm, Evolutionary, and Memetic Computing… (2020)

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    Chapter and Conference Paper

    Evolutionary Bi-objective Optimization and Knowledge Extraction for Electronic and Automotive Cooling

    The heat sink is one of the most widely used devices for thermal management of electronic devices and automotive systems. The present study approaches the design of the heat sink with the aim of enhancing thei...

    Shree Ram Pandey, Rituparna Datta in Swarm, Evolutionary, and Memetic Computing… (2020)

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    Chapter and Conference Paper

    A Neural Net Based Prediction of Sound Pressure Level for the Design of the Aerofoil

    Aerofoil self-noise can affect the performance of the overall system. One of the main goals of aircraft design is to create an aerofoil with minimum weight, cost, and self-noise, satisfying all design requirem...

    Palash Pal, Rituparna Datta, Deepak Rajbansi in Swarm, Evolutionary, and Memetic Computing… (2020)

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    Chapter and Conference Paper

    Neural Swarm Virus

    The dramatic improvements in computational intelligence techniques over recent years have influenced many domains. Hence, it is reasonable to expect that virus writers will taking advantage of these techniques...

    Thanh Cong Truong, Ivan Zelinka in Swarm, Evolutionary, and Memetic Computing… (2020)

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    Chapter and Conference Paper

    SOMA T3A for Solving the 100-Digit Challenge

    In this paper, we address 10 basic test functions of the 100-Digit Challenge of the SEMCCO 2019 & FANCCO 2019 Competition by using team-to-team adaptive seft-organizing migrating algorithm - SOMA T3A with many...

    Quoc Bao Diep, Ivan Zelinka, Swagatam Das in Swarm, Evolutionary, and Memetic Computing… (2020)

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    Chapter and Conference Paper

    Insight into Adaptive Differential Evolution Variants with Unconventional Randomization Schemes

    The focus of this work is the deeper insight into arising serious research questions connected with the growing popularity of combining metaheuristic algorithms and chaotic sequences showing quasi-periodic pat...

    Roman Senkerik, Adam Viktorin, Tomas Kadavy in Swarm, Evolutionary, and Memetic Computing… (2020)

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    Chapter and Conference Paper

    Hybrid Elephant Herding Optimization Approach for Cloud Computing Load Scheduling

    Cloud computing is rather important distributing computing paradigm and in general refers to the common pool of configurable resources that is accessed on-demand. Resources are dynamically scalable and metered...

    Ivana Strumberger, Eva Tuba, Nebojsa Bacanin in Swarm, Evolutionary, and Memetic Computing… (2020)

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    Chapter and Conference Paper

    Cooperative Model of Evolutionary Algorithms and Real-World Problems

    A cooperative model of efficient evolutionary algorithms is proposed and studied when solving 22 real-world problems of the CEC 2011 benchmark suite. Four adaptive algorithms are chosen for this model, namely ...

    Petr Bujok in Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing (2020)

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    Chapter and Conference Paper

    Population Size in Differential Evolution

    In this paper we examined how the population size affects the performance of the differential evolution algorithm. First, we tested the original differential evolution algorithm, and then the improved self-ada...

    Amina Alić, Klemen Berkovič, Borko Bošković in Swarm, Evolutionary, and Memetic Computing… (2020)

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    Chapter and Conference Paper

    Self-organizing Migrating Algorithm with Non-binary Perturbation

    The self-organizing migrating algorithm (SOMA) is a popular population base metaheuristic. One of its key mechanisms is a perturbation of the individual movement with a binary-valued perturbation (PRT) vector....

    Michal Pluhacek, Roman Senkerik in Swarm, Evolutionary, and Memetic Computing… (2020)

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    Chapter and Conference Paper

    MOEA with Approximate Nondominated Sorting Based on Sum of Normalized Objectives

    Pareto based selection techniques are extensively implemented in the multi-objective evolutionary algorithms (MOEAs), to tackle the many-objective optimization problems (MaOPs). In Pareto-dominance based MOEAs...

    Vikas Palakonda, Rammohan Mallipeddi in Swarm, Evolutionary, and Memetic Computing… (2020)

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    Chapter and Conference Paper

    Classification of Stock Market Trends with Confidence-Based Selective Predictions

    Predicting the trend of stock price movement accurately allows investors to maximize their profits from investments. However, due to the complexity of the stock data, classifiers often make errors, which cause...

    Wen **n Cheng, P. N. Suganthan, Xueheng Qiu in Swarm, Evolutionary, and Memetic Computing… (2020)

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    Chapter and Conference Paper

    Competition of Strategies in jSO Algorithm

    A newly proposed variant of the efficient jSO algorithm employing competition of eight strategies (cSO) is proposed. The main idea is to select the most proper strategy and adapt the setting to each solved pro...

    Petr Bujok in Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing (2020)

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    Chapter and Conference Paper

    Wrapper-Based Feature Selection Using Self-adaptive Differential Evolution

    Knowledge discovery in databases is a comprehensive procedure which enables researchers to explore knowledge and information from raw sample data usefully. Some problems may arise during this procedure, for ex...

    Dušan Fister, Iztok Fister, Timotej Jagrič in Swarm, Evolutionary, and Memetic Computing… (2020)

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    Chapter and Conference Paper

    Tracking the Exploration and Exploitation in Stochastic Population-Based Nature-Inspired Algorithms Using Recurrence Plots

    The success of every stochastic population-based nature-inspired algorithms is characterized through the dichotomy of exploration and exploitation. In general, exploration refers to the evaluation of points in...

    Daniel Angus, Iztok Fister Jr. in Swarm, Evolutionary, and Memetic Computing… (2020)

  19. Chapter and Conference Paper

    An Empirical Analysis of Genetic Algorithm with Different Mutation and Crossover Operators for Solving Sudoku

    Prospective optimization tools such as Evolutionary Algorithms (EAs), are widely used to tackle optimization problems in the real world. Genetic Algorithm (GA), one of the instances of EAs, has potential research...

    D. Srivatsa, T. P. V. Krishna Teja in Pattern Recognition and Machine Intelligen… (2019)

  20. Chapter and Conference Paper

    Unsupervised Detection of Active, New, and Closed Coal Mines with Reclamation Activity from Landsat 8 OLI/TIRS Images

    Monitoring and classification of surface coal mine regions have several research aspects, as they have huge impacts on the eco-environment of a region. Mining regions change over time immensely. New potential ...

    Jit Mukherjee, Jayanta Mukherjee in Pattern Recognition and Machine Intelligen… (2019)

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