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Swarm intelligence of honey bees had motivated many bioinspired based optimisation techniques. The Bees Algorithm (BA) was created specifically by mimicking the foraging behavior of foraging bees in searching for food sources. During the... more
We propose a novel bio-inspired solution for biomedical article classification. Our method draws from an existing model of T-cell cross-regulation in the vertebrate immune system (IS), which is a complex adaptive system of millions of... more
We present and study an agent-based model of T-Cell cross-regulation in the adaptive immune system, which we apply to binary classification. Our method expands an existing analytical model of T-cell cross-regulation that was used to study... more
International Society for Very Highly Advanced Artificial Intelligence is the expansion of ISVHAAI. ISVHAAI is an Artificial Intelligence Society which uses Very Highly Advanced Artificial Intelligence (VHAAI) field for dealing with... more
The traveling transportation problem (TTP) is one of the classic algorithmic problems like the traveling salesman problem (TSP) in the field of computer science, operations research and logistics engineering. It has been classified as the... more
VHAAI means Very Highly Advanced Artificial Intelligence. ISVHAAI means International Society for VHAAI. VHAAI field is used by ISVHAAI Society in an attempt to solve problems. A new algorithm titled Friendship Human Swarm Optimization... more
Questo documento affronta il profondo paradosso dell'efficienza energetica tra il cervello umano e le moderne Intelligenze Artificiali. Mentre i sistemi AI richiedono infrastrutture ad alto consumo per operazioni complesse, il cervello... more
The relation between Very Highly Advanced Artificial Intelligence (VHAAI) and International Society for Very Highly Advanced Artificial Intelligence (ISVHAAI) is that ISVHAAI AI Society uses VHAAI field to address various problems. In... more
This paper attempts to use GSO algorithm to tune a PID controller that can be used to control a satellite using reaction wheels. These have a higher order transfer function and the controller will be more difficult to tune due to this. To... more
A swarm of autonomous drones with self-coordination and environment adaptation can offer a robust, scalable and flexible manner to localize objects in an unexplored, dangerous or unstructured environment. We design a novel coordination... more
Current network security systems are a collection of various security components, which are directly installed in the operating system. These check the whole node for suspicious behaviour. Armouring intrusions e.g. have the ability to... more
ACO is applied on various combinatorial optimization problems. One among them is Travelling Salesman Problem. Generally, the fundamental ACO has the disadvantage of the entrapment in the local minimum and stagnation problem. In this... more
Representation is a crucial concept in classical computing. Unconventional computational devices pose a series of challenges to representational issues, including unary analogue encodings, the representation of inputs and outputs, and... more
In this paper, we will examine numerous optimization approaches in the field of computer science engineering in depth, shedding light on their applications, strengths, and weaknesses. Optimization algorithms are important tools in... more
17 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. Abstract— There are two types of computing; one is conventional and another is unconventional. Turing machine is a hypothetical device and a conventional... more
Particle Swarm Optimization (PSO) is a popular and widely used optimization algorithm for solving complex problems. It is known for its simplicity and ease of implementation. Artificial Birds move in search space to find optimal solution.... more
The knapsack problem is known as a NP-hard problem. There is a dynamic programming solution for this problem which is called the 0-1 knapsack. Firefly's innovative optimization algorithm is an algorithm, inspired by the behavior of... more
In the current mathematical model magnetic field, the inclination of the artery has been developed to understand the effect on blood flow. This model also reveals the effect of core velocity, wall shear stress and volumetric flow rate on... more
The current state of Association Rule Mining (ARM) technology is heading towards a critical yet profitable direction. The ARM process uncovers numerous association rules, determining correlations between itemsets, forming building blocks... more
A new method using collective responses of starling birds is developed to enhance the global search performance of standard particle swarm optimization (PSO). The method is named chaotic starling particle swarm optimization (CSPSO). In... more
Magnetic resonance imaging (MRI) is a substantial imaging procedure for diagnosing brain tumors. However, brain tumor classification continues challenging due to the unequal distribution of classes within datasets, complicating precise... more
The dynamics of pervasive ecosystems are typically highly unpredictable, and therefore self-organising approaches are often exploited to make their applications resilient to changes and failures. The SAPERE approach we illustrate in this... more
Cloud computing has been considered as the new computing paradigm that would offer computer resources over the Internet as service. With the widespread use of cloud, computing would become another utility similar to electricity, water,... more
Biologically inspired metaheuristic techniques for exatracting salient features from mass spectrometry data has been recently gaining momentum among related fields of research viz., bioinformatics and proteomics. Such sophisticated... more
This paper is concerned with the learning of basic behaviors in autonomous robots. In this way, we present a method for the adaptation of basic reactive behaviors implemented as fuzzy controllers applying a genetic algorithm to the... more
As current microelectronics will reach their physical limits within the foreseeable future, emerging technologies may offer a solution for maintaining the trends to increase computing performance. Biologically-inspired and quantum... more
Filter is the most important element in digital signal processing. Infinite Impulse Response (IIR) filter is a digital filter. Based on FPGA different order of low pass IIR filters are designed. To design the different order of IIR... more
Current network protection systems use a collection of intelligent components-e.g. classifiers or rule-based firewall systems to detect intrusions and anomalies and to secure a network against viruses, worms, or trojans. However, these... more
This work deals with a new modification of Particle Swarm with Center of Mass Optimization, Which We denoted by (PSOCM). This modification gives a new efficient search technique. It gets benefit from the physical principle "center of... more
The complexity of real-world problems raises new challenges to evolutionary computation. Responding to those challenges, several methods are developed in particular the evolutionary algorithm. They are easy to implement and can provide... more
The complexity of real-world problems raises new challenges to evolutionary computation. Responding to those challenges, several methods are developed in particular the evolutionary algorithm. They are easy to implement and can provide... more
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Microelectrode arrays (MEAs) are essential equipment in neuroscience for studying the nervous system’s behavior and organization. MEAs are arrays of parallel electrodes that work by sensing the extracellular potential of neurons in their... more
The evolution of networks is constrained by spatial properties of the environment; a characterization that is true in both biological and built networks. Hence built networks such as urban streets can be compared to biological networks to... more
Feature selection and classification are the most applied machine learning processes. In the feature selection, it is aimed to find useful properties containing class information by eliminating noisy and unnecessary features in the data... more
Heuristic optimization algorithms which are inspired by nature have become very popular for solving real world problems recently. The use of these algorithms increases day by day in the literature because of their flexible structures and... more
The binary-based algorithms including the binary gravitational search algorithm (BGSA) were designed to solve discrete optimization problems. Many improvements of the binary-based algorithms have been reported. In this paper, a variant of... more
As a first step of implementing an energy resilient community cluster system, we apply clustering algorithms, including two graph partitioning algorithms and a stochastic optimization algorithm, to electricity self-sufficient community... more
The multi objective optimization problems can be found in various fields such as finance, automobile design, aircraft design, path optimization etc. This paper reviews some of the existing literature on multi objective optimization... more
Topology plays an important role for Particle Swarm Optimization (PSO) to achieve good optimization performance. It is difficult to find one topology structure for the particles to achieve better optimization performance than the others... more
In this paper, an integer quadratic programming model is proposed for workload balancing in the examination job assignment problem. The proposed model can be classified as part of the 'Generalised Assignment Problem' or GAP, which is... more
In this paper, an integer quadratic programming model is proposed for workload balancing in the examination job assignment problem. The proposed model can be classified as part of the 'Generalised Assignment Problem' or GAP, which is... more
With an aim to investigate the effect of externally imposed body acceleration on two dimensional,pulsatile blood flow through a stenosed artery is under consideration in this article. The blood flow has been assumed to be non-linear,... more
In this paper, a fuzzy controller type Takagi_Sugeno zero order is optimized by the method of hybrid Particle Swarm Optimization (PSO) and Tabu Search (TS). The algorithm automatically adjusts the membership functions of fuzzy controller... more
In this paper, Travelling Salesman Problems (TSPs) are formulated as profit maximization problems with a time constraint and solved using a hybrid algorithm. Here, in TSPs in addition to usual costs and times, between two cities, there... more
This paper presents an improved algorithm for path planning using Artificial Bee Colony Algorithm. This algorithm is used to find collision free shortest path from the start position to destination. The environment considered here is a... more
This paper addresses the problem of optimality in semantic Web service composition by proposing a hybrid nature-inspired method for selecting the optimal or near-optimal solution in semantic Web Service Composition. The method hybridizes... more