Virtual network embedding, which means mapping virtual networks requested by users to a shared substrate maintained an Internet service provider, is key function that virtualization needs provide. Prior work on embedding has primarily focused maximizing the revenue of provider and did not consider energy cost in accommodating such requests. As more than half operating networks, while trying accommodate requests, minimizing critical for infrastructure providers. In this paper, we make first...

Cloud computing is a potent platform for delivering high-quality computational services to intricate IoT applications. However, effective scheduling approaches are essential meet application demands while maximizing cloud computing's potential. In this study, we propose an innovative workflow method addressing the cost-effective, deadline-constrained challenge of applications in systems. Our solution, F-ACO algorithm, leverages hybrid intelligence approach that combines Ant Colony...

Recently, inspired by migration of monarch butterflies in the Northern American, a new kind metaheuristic algorithm, called butterfly optimization (MBO), is proposed for solving global problems. It has been experimentally shown that MBO outperforms five state-of-the-art algorithms on most benchmarks. However, main disadvantage it poorer Std values and worse mean fitness certain In this paper, order to overcome shortcoming, greedy strategy incorporated into operation, can only accept...

Hospital department layout problems (HDLPs) are significant in enhancing service quality and reducing patients' travel distance time. Their studies scarce comparison with those for facility manufacturing systems. Existing approaches to HDLPs usually adopt simplified models thus gain very limited applications a real world. typically involve multiple objectives that may conflict each other. There have been no on their multiobjective heuristic our best knowledge. In this paper, we propose tabu...

QoS-aware Web Service Selection is a crucially important issue in Oriented Communication which enables communication by integrating web services over Internet. Because of the growing number candidate that provide same functionality but differ Quality (QoS), it brings more challenges to select combination composite with optimal QoS performance, while satisfying users' constraints. Here, an improved Particle Swarm Optimization Algorithm (iPSOA) proposed solve this problem. In order make...

Service-oriented architecture is becoming a major software framework for complex application and it can be dynamically flexibly composed by integrating existing component web services provided different providers with standard protocols. The rapid introduction of new into dynamic business environment adversely affect the service quality user satisfaction. Therefore, how to leverage, aggregate make use individual component's (QoS) information derive optimal QoS composite which meets needs...

The multi-row facility layout problem (MRLP) is an important design often encountered in real life. Existing studies on MRLPs typically either ignore clearances between adjacent machines or consider only the minimum clearances. However, separating with greater than ones may achieve lower material flow cost. In addition, current optimisation of area. this paper, we study a extra (MRLP-EC), objectives minimising cost and A mixed integer programming formulation established for MRLP-EC. hybrid...

Due to the volatility and uncertainty of financial market, investors often use form portfolio actively manage their assets. Portfolio optimization (PO) is becoming more important for investors. However, PO frequently a kind NP-hard problem in field modern optimization, which has gradually attracted attention interest researchers. Some efficient mathematical models were built describe return risk portfolio. A lot precise approximate fast algorithms are used solve established models. The...

Particle swarm optimization (PSO), one of the classical path planning algorithms, has been considered for unmanned aerial vehicle (UAV) more frequently in recent years. A large amount studies on UAV based modified PSO have reported. However, most algorithms still optimize only kind terrain problem which is mountain terrain. At same time, many also some problems, such as insufficient convergence and unsatisfactory efficiency. In this paper, six kinds functions are proposed to simulate...

A new scheduling problem considering the sequence flexibility in classical job shop (SFJSP) is very practical most realistic situations.SFJSP consists of two sub-problems which are determining flexible operations each and sequencing all on machines.This paper proposes an improved genetic algorithm (IGA) to solve SFJSP minimise makespan, chromosome encoding schema, crossover operator mutation redesigned.The schema can express processing jobs machines simultaneously.The operators ensure...