A Multi-Objective Approach Based on Differential Evolution and Deep Learning Algorithms for VANETs
- Computer ScienceIEEE Transactions on Vehicular Technology
This paper proposes a scheme that combines both a cluster algorithm and a Multi-Objective Task Distribution algorithm based on Differential Evolution (MOTD-DE), designed to ensure stability and reliability in vehicular ad-hoc network (VANET) deployments.
A Novel Approach for Polyphase Filter Bank Design Using ABC Algorithm
- Computer ScienceElektronika ir Elektrotechnika
Artificial Bee Colony (ABC) algorithm was employed for suggested design problem of PFB and the control parameters of the ABC algorithm were examined to improve the performance of the proposed PFB problem.
Ontology of Mathematical Modeling Based on Interval Data
- Computer ScienceComplex.
An ontological approach as a tool for managing the processes of constructing mathematical models based on interval data and further use of these models for solving applied problems is proposed in…
Comparison of Four Chaotic Meta-Heuristic Algorithms for Optimal Design of Large-Scale Truss Structures
- Computer ScienceIranian Journal of Science and Technology, Transactions of Civil Engineering
In this study, logistic and Gauss chaos maps are incorporated in four meta-heuristic algorithms providing suitable conditions to improve the optimization results.
A comparison study about parameter optimization using swarm algorithms
- Computer ScienceIEEE Access
Six models based on the use of optimization algorithms to automatically adjust the models’ parameters could better the performance and robustness of the non-optimized algorithms models and were compared with each other based on predictive precision.
Multi-Objective Task Scheduling Optimization for Load Balancing in Cloud Computing Environment Using Hybrid Artificial Bee Colony Algorithm With Reinforcement Learning
- Computer ScienceIEEE Access
An independent task scheduling approach in cloud computing is proposed using a Multi-objective task scheduling optimization based on the Artificial Bee Colony Algorithm with a Q-learning algorithm, which is a reinforcement learning technique that helps the ABC algorithm work faster, called the MOABCQ method.
A swarm intelligence-based robust solution for Virtual Reference Feedback Tuning
- Computer ScienceArXiv
This work proposes the inclusion of an H∞ robustness constraint to the Virtual Reference Feedback Tuning (VRFT) cost function, which is solved by metaheuristic optimization with only a single batch of data (one-shot), satisfying the imposed robustness constraints with lower fitness than other tested algorithms.
Optimization Hydro-Thermal-Wind-PV Solar Using MOPSO Algorithm Applied to Economic/ Environmental Dispatch
- EngineeringBioscience Biotechnology Research Communications
The proposed MOPSO algorithm is applied in economic emission dispatch to find the best solutions of hydro plant, thermal units, wind and PV solar generation scheduling powers and then calculate the cost, emission functions for SOx and NOx gas pollution, and combined the three function.
Chaotic vortex search algorithm: metaheuristic algorithm for feature selection
- Computer ScienceEvolutionary Intelligence
The results of simulation showed that chaotic maps (particularly the Tent map) are able to enhance the performance of the VSA and the proposed method has higher percentage of accuracy in comparison to other algorithms.
Current Algorithms, Communication Methods and Designs for Underwater Swarm Robotics: A Review
- Computer ScienceIEEE Sensors Journal
This article conducts a literature review into the current state of underwater swarm robotics; it covers the design of the underwater robots, the methods used by the individual robot to perceive their environment, how they can localize to said environment, the method of communication available underwater, centralized and decentralized control, the basis of swarm algorithms and how swarms have been applied underwater.
SHOWING 1-10 OF 11 REFERENCES
Artificial Immune Systems: Part I-Basic Theory and Applications
- Computer Science
The immune engineering makes use of immunological concepts in order to create tools for solving demanding machine-learning problems using information extracted from the problems themselves, and the development of several immune engineering algorithms are discussed.
Reaction-Diffusion Model of a Honeybee Colony's Foraging Behaviour
- Environmental SciencePPSN
The results elucidate the role of natural clustering of the dances in the small area of the have - it has to facilitate the information flow that is beneficial for overall process of colony's food collection.
Swarm Intelligence: From Natural to Artificial Systems
- Computer ScienceConnect. Sci.
This book provides fairly comprehensive coverage of recent research developments and constitutes an excellent resource for researchers in the swarm intelligence area or for those wishing to familiarize themselves with current approaches e.g. it would be an ideal introduction for a doctoral student wanting to enter this area.
The Wisdom of the Hive
Collective Decision-Making in Honey Bee Foraging Dynamics
We consider a bee colony as dynamical system gathering information from an environment and adjusting its behaviour in accordance to it. Intelligent decisionmaking emerges from enhancing the level of…
Assessing the benefits of cooperation in honeybee foraging: search costs, forage quality, and competitive ability
- BiologyBehavioral Ecology and Sociobiology
Analysis of honeybee dance language provides insights into the colonial organization of foraging by honeybees and decreases foragers' costs in finding new food sources, and increases the quality of the food sources located by foragers.
Caste and ecology in the social insects.
- BiologyMonographs in population biology
In this pathbreaking and far-reaching work George Oster and Edward Wilson provide the first fully developed theory of caste evolution among the social insects and construct a series of mathematical models to characterize the agents of natural selection that promote particular caste systems.
A suggestion for a method of evaluating the central visual acuity of the retina and the visual pathway is suggested.
Particle swarm optimization
- Computer ScienceProceedings of ICNN'95 - International Conference on Neural Networks
A snapshot of particle swarming from the authors’ perspective, including variations in the algorithm, current and ongoing research, applications and open problems, is included.
Artificial Immune Systems
- Computer ScienceLecture Notes in Computer Science
An overview of AIS is presented, its evolution is discussed, and it is shown that the diversification of the field is linked to the diversity of the immune system itself, leading to a number of algorithms as opposed to one archetypal system.