This paper proposes a new approach based on the moth flame optimizer algorithm. Moth
flame optimizer simulates the natural fervent navigation technique adopted by moths looking …

The bacterial foraging optimisation (BFO) algorithm is a commonly adopted bio-inspired
optimisation algorithm. However, BFO is not a proper choice in coping with continuous …

This paper presents two‐swim operators to be added to the chemotaxis process of the
modified bacterial foraging optimization algorithm to solve three instances of the synthesis of …

For the solution of a set equation (linear or non-linear) with n number (n> 1) of variables we
need at least n number of different relations (called as rank). Our present work is showing …

The paper proposes a Genetic Algorithm solution for solving a short term hydro thermal
scheduling problem. The scheduling has been done for a period of twenty four hours. The …

A simple version of a Swarm Intelligence algorithm called bacterial foraging optimization
algorithm with mutation and dynamic stepsize (BFOAM-DS) is proposed. The bacterial …

In data mining, K-means clustering is well known for its efficiency in clustering large data
sets. The main aim in grouping data points into clusters is to lump similar items together in …

Multi-objective test suite minimization problem is to select a set of test cases from the
available test suite while optimizing the multi objectives like code coverage, cost and fault …

This paper addresses the Unit Commitment (UC) problem, which is a well-known
combinatorial optimization problem arising in operation planning of power systems. In the …

Bacterial Foraging Optimization (BFO) is a well-known biologically inspired technique for
finding optimal solution to a problem. It is a heuristic search technique and a computational …