Asri Ngadi

TL;DR: Results revealed that DSOS outperforms Particle Swarm Optimization which is one of the most popular heuristic optimization techniques used for task scheduling problems and performs significantly better than PSO for large search spaces.

TL;DR: A chaotic symbiotic organisms search (CMSOS) algorithm is proposed to solve multi-objective large scale task scheduling optimization problem on IaaS cloud computing environment and obtained significant improved optimal trade-offs between execution time (makespan) and financial cost (cost) with no computational overhead.

TL;DR: A fitness function is proposed which takes into account the utilization level of virtual machines (VMs) which reduced makespan and degree of imbalance among VMs and showed that hybrid SOS performs better than SOS in terms of convergence speed, response time, degrees of imbalance, and makespan.

TL;DR: A novel efficient next hop selection algorithm is proposed in multi-hop BANs which uses the minimum hop count and a link cost function jointly in each node to choose the best next hop node.

TL;DR: A fuzzy-assisted social-based routing (FAST) protocol that takes the advantage of social behaviour of humans on the road to make optimal and secure routing decisions and results show that the FAST performs best in terms of packet delivery ratio.