Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Swagatam Das"'
Publikováno v:
IEEE Transactions on Evolutionary Computation. 19:246-263
In practical situations, it is very often desirable to detect multiple optimally sustainable solutions of an optimization problem. The population-based evolutionary multimodal optimization algorithms can be very helpful in such cases. They detect and
Publikováno v:
Applied Soft Computing. 13:4676-4694
Evolutionary computation (EC) paradigm has undergone extensions in the recent years diverging from the natural process of genetic evolution to the simulation of natural life processes exhibited by the living organisms. Bee colonies exemplify a high l
Publikováno v:
IEEE Transactions on Antennas and Propagation. 59:110-118
An ecologically inspired optimization algorithm, called invasive weed optimization (IWO), is presented for the design of non-uniform, planar, and circular antenna arrays that can achieve minimum side lobe levels for a specific first null beamwidth wh
Publikováno v:
IEEE Transactions on Evolutionary Computation. 13:919-941
In his seminal paper published in 2002, Passino pointed out how individual and groups of bacteria forage for nutrients and how to model it as a distributed optimization process, which he called the bacterial foraging optimization algorithm (BFOA). On
Publikováno v:
IEEE Transactions on Evolutionary Computation. 15:1-3
The six papers in this special issue are representative of the current research trends in differential evolution.
Autor:
Bijaya Ketan Panigrahi, Subhodip Biswas, Souvik Kundu, Swagatam Das, Digbalay Bose, Ponnuthurai Nagaratnam Suganthan
Publikováno v:
SIS
Swarm Intelligent algorithms focus on imbibing the collective intelligence of a group of simple agents that can work together as a unit. This research article focus on a recently proposed swarm-based metaheuristic called the Artificial Bee Colony (AB
Publikováno v:
HIS
Work load optimization in power generation plants is of practical importance in carbon constrained power industry. The main objective of the coal-fired power generation workload optimization is to minimize fuel consumption while maintaining the desir
Publikováno v:
HIS
In recent years, there has been a growing interest in real world application of heuristic methods. Memetic Algorithm (MA) is one of such effective heuristics. In this paper, we represent an efficient MA for determining optimal proportional-integral-d
Publikováno v:
IEEE Congress on Evolutionary Computation
In this paper we propose a Self Adaptive Cluster based and Weed Inspired Differential Evolution algorithm (SACWIDE), the total population is divided into several clusters based on the positions of the individuals and the cluster number is dynamically
Autor:
Aveek K. Das, Ankush Mandal, Swagatam Das, Prithwijit Mukherjee, Ponnuthurai Nagaratnam Suganthan
Publikováno v:
IEEE Congress on Evolutionary Computation
Real world optimization problems are used to judge the performance of any Evolutionary Algorithm (EA) over real world applications. This is why the performance of any EA over the real world optimization problems is very important for judging its effi