This paper introduces one of the most profound Swarm Intelligence-based approaches, namely Ant Colony Optimization (ACO). The different operators in ACO and their effect on the quality of solution are briefly discussed. The ACO algorithms variants like Ant System (AS), Elitist Ant System (EAS), Rankbased Ant System (ASrank), Min-Max based Ant System (MMAS) are detailed. The paper puts forth a s...

An algorithm for edge detection with low contrast image using improved ant colony optimization is proposed in this paper. In edge detection, some parts of the edge are disappeared or disconnected because of low contrast in their intensities. This paper concentrates to this low-contrast problem. To detect these pixels, the direction tendency of edge lines is computed and ant colony optimization ...

Ant colony optimization algorithm for continuous domains is a major research direction for ant colony optimization algorithm. In this paper, we propose a distribution model of ant colony foraging, through analysis of the relationship between the position distribution and food source in the process of ant colony foraging. We design a continuous domain optimization algorithm based on the model an...

This paper describes GRAF-ANT (Graphical Framework for Ant Colony Optimization), an objectoriented C# framework for developing ant colony systems that we have developed. While developing this framework, abstractions that are necessary for ant colony optimization algorithms were analyzed, as well as the features that their implementing classes should have. During creation of these classes, sever...

Abstract The Internet of Robotic Things (IoRT) is an integration between autonomous robots and the (IoT) based on smart connectivity. It's critical to have intelligent connectivity excellent communication for IoRT with digital platforms in order maintain real-time engagement efficient consumer power new-generation apps. proposed model will be utilized determine optimal way task offloading devic...

In eastern North America, body size of the larval ant lion Myrmeleon immaculatus increases from south to north, following Bergmann's rule. We used a common-garden experiment and a reciprocal-transplant experiment to evaluate the effects of food and temperature on ant lion growth, body size, and survivorship. In the laboratory common-garden experiment, first-instar larvae from two southern (Geor...

Pipe routing and clamp layout for aeroengine are NP-hard computational problems complex engineering design processes. Besides space constraints rules, there assembly between pipes clamps, which usually lead to repeatedly modifications pipe designs. In order solve the of coupling them, an integrated optimization method is proposed. To this end, MOALO (multiobjective ant lion optimizer) algorithm...

Abstract This paper introduces a multi-objective variant of the marine predators algorithm (MPA) called improved (MOIMPA), which incorporates concepts from Quantum theory. By leveraging theory, MOIMPA aims to enhance MPA’s ability balance between exploration and exploitation find optimal solutions. The utilizes concept inspired by Schrödinger wave function determine position particles in search...

A gastrointestinal disease is a group of cancers which mainly affects the digestive system, along with stomach, small intestine, oesophagus, rectum, and colon. Accurate classification earlier diagnosis this cancer are crucial for better patient outcomes. Deep learning (DL) algorithm, especially convolutional neural network (CNN), trained to categorize endoscopic images tissue as either benign o...