Resource allocation is a non-polynomial complete problem in the cloud data center that selects proper resources to execute many fine computational granularity tasks. Customer requirements and capacity of applications change frequently. To bridge gap between frequently changing customer requirement available infrastructure for services, we propose dynamic resource strategy using an adaptive mult...

Numerous problems encountered in real life cannot be actually formulated as a single objective problem; hence the requirement of Multi-Objective Optimization (MOO) had arisen several years ago. Due to the complexities in such type of problems powerful heuristic techniques were needed, which has been strongly satisfied by Swarm Intelligence (SI) techniques. Particle Swarm Optimization (PSO) has ...

This paper proposes a novel multi-objective model for an unrelated parallel machine scheduling problem considering inherent uncertainty in processing times and due dates. The problem is characterized by non-zero ready times, sequence and machine-dependent setup times, and secondary resource constraints for jobs. Each job can be processed only if its required machine and secondary resource (if a...

Background: In this paper, a new closed-loop supply chain (CLSC) network model, including economic, social and environmental goals, is designed. This paper’s primary purpose to meet customers’ uncertain demands in different scenarios where the robust-fuzzy-probabilistic method has been used estimate exact demand. Furthermore, strategic tactical decisions, such as vehicle routing, facility locat...

Tourism activities essentially represent the interaction between crowds and attractions. Thus, crowd dynamics are critical to quality of tourism experience in personalized tour recommendations. In order generate dynamic, routes, this paper develops a tourist trip design problem with (TTDP-CD), which is quantified indicators derived from mobile tracking data terms flow, interaction, structure. T...

The deployment strategy for wireless sensor networks (WSNs) affects the quality of service (QoS). Adopting a reasonable can improve QoS WSNs. In this paper, problem regarding node WSNs on three-dimensional (3D) terrain is modeled as multi-objective optimization problem. coverage rate WSNs, their unbalanced energy consumption, and number nodes are used fitness functions We propose non-dominated ...

SCADA is an essential system to control critical facilities in big cities. SCADA is utilized in several sectors such as water resource management, power plants, electricity distribution centers, traffic control centers, and gas deputy. The failure of SCADA results in crisis. Hence, the design of SCADA system in order to serve a high reliability considering limited budget and other constraints i...

A multi-item multiperiod inventory control model is developed for known-deterministic variable demands under limited available budget. Assuming the order quantity is more than the shortage quantity in each period, the shortage in combination of backorder and lost sale is considered. The orders are placed in batch sizes and the decision variables are assumed integer. Moreover, all unit discounts...

Evolutionary optimization algorithms have been used to solve multiple objective problems. However, most of these methods have focused on search a sufficient Pareto front, and no efforts are made to explore the diverse Pareto optimal solutions corresponding to a Pareto front. Note that in semi-obnoxious facility location problems, diversifying Pareto optimal solutions is important. The paper the...