Ant Colony Optimization Based Modified Termite Algorithm (MTA) with Efficient Stagnation Avoidance Strategy for MANETs

We present the application of a rigorous optimization technique based on fuzzy genetic algorithms (FGAs), the optimizing algorithm is obtained by adjusting control parameters of

The generic Multiple based on Efficient Global Optimiza- tion method (MEGO) used in this work is a sampling strategy that aims the identification of the global optimum of a

Then, the methodology is applied to the design of two representa- tive engineering systems through multi-objective optimization using the Firefly Colony Algorithm in association

In this paper we propose a new approach based on Particle Swarm Optimization Algorithm to mine association rules for both frequent and infrequent itemsets in an efficient way.

The Fuzzy based Particle Swarm Optimization and Ant Colony Optimization (FPSO-ACO) technique is used to trim down the feature vector dimensionality and

First of all, we define the simulation in the 1,000 m×1,000 m region, random waypoint mobile model, the node number: 65; node original communication radius:

We try to do the function Do0(), if after this, we can get a Hamilton cycle, output it and stop the program.If not, then we try to do the function Do1(), we should do all

A new IPSO-SA algorithm based on an improved particle swarm optimization and a modified simulated annealing was proposed to find the cardinality constrained efficient frontier.