Continuous optimization algorithms for tuning real and integer parameters of swarm intelligence algorithms
نویسندگان
چکیده
منابع مشابه
Modern Continuous Optimization Algorithms for Tuning Real and Integer Algorithm Parameters
To obtain peak performance from optimization algorithms, it is required to set appropriately their parameters. Frequently, algorithm parameters can take values from the set of real numbers, or from a large integer set. To tune this kind of parameters, it is interesting to apply state-of-the-art continuous optimization algorithms instead of using a tedious, and error-prone, hands-on approach. In...
متن کاملIncremental Social Learning in Swarm Intelligence Algorithms for Continuous Optimization
Swarm intelligence is the collective problem-solving behavior of groups of animals and artificial agents. Often, swarm intelligence is the result of self-organization, which emerges from the agents’ local interactions with one another and with their environment. Such local interactions can be positive, negative, or neutral. Positive interactions help a swarm of agents solve a problem. Negative ...
متن کاملSwarm Intelligence Algorithms for Portfolio Optimization
Swarm Intelligence (SI) is a relatively new technology that takes its inspiration from the behavior of social insects and flocking animals. In this paper, we focus on two main SI algorithms: Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO). An extension of ACO algorithm and a PSO algorithm has been implemented to solve the portfolio optimization problem, which is a continuous...
متن کاملTuning the Parameters of a Classifier for Fault Diagnosis - Particle Swarm Optimization vs Genetic Algorithms
This paper presents a comparison between the use of particle swarm optimization and the use of genetic algorithms for tuning the parameters of a novel fuzzy classifier. In the previous work on the classifier, the large amount of time needed by genetic algorithms has been significantly diminished by using an optimized initial population. Even with this improvement, the time spent on tuning the p...
متن کاملA Solution Quality Assessment Method for Swarm Intelligence Optimization Algorithms
Nowadays, swarm intelligence optimization has become an important optimization tool and wildly used in many fields of application. In contrast to many successful applications, the theoretical foundation is rather weak. Therefore, there are still many problems to be solved. One problem is how to quantify the performance of algorithm in finite time, that is, how to evaluate the solution quality g...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Swarm Intelligence
سال: 2011
ISSN: 1935-3812,1935-3820
DOI: 10.1007/s11721-011-0065-9