The simulation-driven metaheuristic algorithms have been successful in solving numerous
problems compared to their deterministic counterparts. Despite this advantage, the …

Swarm intelligence is a relatively new approach to problem solving that takes inspiration
from the social behaviors of insects and of other animals. In particular, ants have inspired a …

Nowadays data-intensive applications for processing big data are being hosted in the cloud.
Since the cloud environment provides virtualized resources for computation, and data …

This authoritative handbook reveals the connections between bioinspired techniques and
the development of solutions to problems that arise in diverse problem domains. It provides …

The defining characteristic of fixed interval scheduling problems is that each job has a finite
number of fixed processing intervals. A job can be processed only in one of its intervals on …

The minimum weight vertex cover problem is an interesting and applicable NP-hard problem
that has been investigated from many different aspects. The ant colony optimization …

In this paper an ant colony optimization (ACO) algorithm for the minimum connected
dominating set problem (MCDSP) is presented. The MCDSP become increasingly important …

Ant colony optimization is an evolutionary search procedure based on the way that ant
colonies cooperate in locating shortest routes to food sources. Early implementations …

We propose a variable depth search based algorithm, called k-opt local search (KLS), for the
maximum clique problem. KLS efficiently explores the k-opt neighborhood defined as the set …

As the size and number of online social networks are increasing day by day, social network
analysis has become a popular issue in many branches of science. The link prediction is …