A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm
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 …
objective problem; hence the requirement of Multi-Objective Optimization (MOO) had arisen …
A novel energy-aware cluster head selection based on particle swarm optimization for wireless sensor networks
B Singh, DK Lobiyal - Human-Centric Computing and Information …, 2012 - Springer
The wireless sensor networks have long been an attractive field to the researchers and
scientists for its ease in deployment and maintenance. In this research, we focus on the …
scientists for its ease in deployment and maintenance. In this research, we focus on the …
A symbiotic organisms search algorithm with adaptive penalty function to solve multi-objective constrained optimization problems
Many real world engineering optimization problems are multi-modal and associated with
constrains. The multi-modal problems involve presence of local optima and thus …
constrains. The multi-modal problems involve presence of local optima and thus …
[HTML][HTML] Co-locating services in IoT systems to minimize the communication energy cost
Ubiquitous sensing and actuating devices are now everywhere in our living environment as
part of the global cyber–physical ecosystem. Sensing and actuating capabilities can be …
part of the global cyber–physical ecosystem. Sensing and actuating capabilities can be …
Connectivity constrained wireless sensor deployment using multiobjective evolutionary algorithms and fuzzy decision making
PM Pradhan, G Panda - Ad Hoc Networks, 2012 - Elsevier
Deployment of sensor nodes is an important issue in designing sensor networks. The sensor
nodes communicate with each other to transmit their data to a high energy communication …
nodes communicate with each other to transmit their data to a high energy communication …
[PDF][PDF] List of references on evolutionary multiobjective optimization
CAC Coello - URL< http://www. lania. mx/~ ccoello/EMOO …, 2010 - delta.cs.cinvestav.mx
List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …
An evolutionary computation approach for designing mobile ad hoc networks
D Gutiérrez-Reina, SLT Marín, P Johnson… - Expert Systems with …, 2012 - Elsevier
This paper presents the topological design of ad hoc networks in terms of distances among
static nodes and speeds of mobiles nodes. Due to the complexity of the problem and the …
static nodes and speeds of mobiles nodes. Due to the complexity of the problem and the …
An evolutionary game approach on IoT service selection for balancing device energy consumption
Internet of Things (IoT) services are becoming a popular class of services. Compared to
traditional pure software-based services, IoT services are deployed on and constrained by …
traditional pure software-based services, IoT services are deployed on and constrained by …
[PDF][PDF] On Layout Optimization of Wireless Sensor Network Using Meta-Heuristic Approach.
One of the important research issues in wireless sensor networks (WSNs) is the optimal
layout designing for the deployment of sensor nodes. It directly affects the quality of …
layout designing for the deployment of sensor nodes. It directly affects the quality of …
Coverage optimization in a terrain-aware wireless sensor network
HI Sweidan, TC Havens - 2016 IEEE Congress on Evolutionary …, 2016 - ieeexplore.ieee.org
In hostile environments, random deployment of a Wireless¡ Sensor Network (WSN) may be
the only viable approach. However, this leads to coverage holes in the Region of Interest …
the only viable approach. However, this leads to coverage holes in the Region of Interest …