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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...
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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...
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Boundary Strategies for Self-organizing Migrating Algorithm Analyzed Using CECâ17 Benchmark
This paper is focused on the influence of boundary strategies for the popular swarm-intelligence based optimization algorithm: Self-organizing...
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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...
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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...
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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...
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Improved Algorithms for Distributed Balanced Clustering
We study a weighted balanced version of the k-center problem, where each center has a fixed capacity, and each element has an arbitrary demand. The...
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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...
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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...
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Neural Swarm Virus
The dramatic improvements in computational intelligence techniques over recent years have influenced many domains. Hence, it is reasonable to expect...
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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...
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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....
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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...
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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...
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Path Planning with Objectives Minimum Length and Maximum Clearance
In this paper, we study the problem of bi-objective path planning with the objectives minimizing the length and maximizing the clearance of the path,...
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Computing Boundary Cycle of a Pseudo-Triangle Polygon from Its Visibility Graph
Visibility graph of a simple polygon is a graph with the same vertex set in which there is an edge between a pair of vertices if and only if the...
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On the Complexity of the Upper r-Tolerant Edge Cover Problem
We consider the problem of computing edge covers that are tolerant to a certain number of edge deletions. We call the problem of finding a minimum...
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Margin-Based Semi-supervised Learning Using Apollonius Circle
In this paper, we focus on the classification problem to semi-supervised learning. Semi-supervised learning is a learning task from both labeled and...
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Finite Interval-Time Transition System for Real-Time Actors
Real-time computer systems are software or hardware systems which have to perform their tasks according to a time schedule. Formal verification is a...
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Combining Machine and Automata Learning for Network Traffic Classification
Viewing the generated packets of an application as the words of a language, automata learning can be used to derive the behavioral packet-based model...