Over past few decades, families of algorithms based on the intelligent group behaviors of
social creatures like ants, birds, fishes, and bacteria have been extensively studied and …

Swarm intelligence is an emerging area in the field of optimization and researchers have
developed various algorithms by modeling the behaviors of different swarm of animals and …

A bee colony optimization (BCO) algorithm for traveling salesman problem (TSP) is
presented in this paper. The BCO model is constructed algorithmically based on the …

Many real world industrial applications involve the Traveling Salesman Problem (TSP),
which is a problem that finds a Hamiltonian path with minimum cost. Examples of problems …

In this chapter we discuss honey bee optimisation algorithms, which constitute a new trend
in the field of swarm intelligence. As the name suggests this class of algorithms is based on …

This paper addresses the problem of designing urban road networks in a multi-objective
decision making framework. Given a base network with only two-way links, and the …

Job shop scheduling problem (JSSP) is an NP-hard problem that is closely related to
scheduling activities in manufacturing industry. This paper presents an improved bee colony …

In a bee colony, bees perform waggle dance in order to communicate the information of food
source to their hive mates. This foraging behaviour has been adapted in a bee colony …

Abstract Constructive Cost Model (COCOMO) used parameters for software effort estimation,
which were calculated in 1981 by regression analysis of 63 types of project data; therefore …

Scheduling is essentially the short-term execution plan of a production planning model.
Production scheduling consists of the activities performed in a manufacturing company in ordertomanageandcontroltheexecutionofap …