A Competitive Swarm Optimizer-Based Technoeconomic Optimization with Appliance Scheduling in Domestic PV-Battery Hybrid Systems
نویسندگان
چکیده
منابع مشابه
Diversified Particle Swarm Optimization for Hybrid Flowshop Scheduling
The aim of this paper is to propose a new particle swarm optimization algorithm to solve a hybrid flowshop scheduling with sequence-dependent setup times problem, which is of great importance in the industrial context. This algorithm is called diversified particle swarm optimization algorithm which is a generalization of particle swarm optimization algorithm and inspired by an anarchic society ...
متن کاملCompetitive Swarm Optimizer Based Gateway Deployment Algorithm in Cyber-Physical Systems
Wireless sensor network topology optimization is a highly important issue, and topology control through node selection can improve the efficiency of data forwarding, while saving energy and prolonging lifetime of the network. To address the problem of connecting a wireless sensor network to the Internet in cyber-physical systems, here we propose a geometric gateway deployment based on a competi...
متن کاملA hybrid cooperative quantum particle swarm optimizer with dynamic varying search area for function optimization
This paper proposes a hybrid cooperative quantum particle swarm optimization (HCQPSO), hybridizing dynamic varying search area, cooperative evolution, simulated annealing and quantum particle swarm optimization (PSO) for function optimization. In the proposed HQCPSO, a technique of dynamic varying search area helps reduce the search spaces and populations of swarms, which could make the optimiz...
متن کاملA novel particle swarm optimizer hybridized with extremal optimization
Particle swarm optimization (PSO) has received increasing interest from the optimization community due to its simplicity in implementation and its inexpensive computational overhead. However, PSO has premature convergence, especially in complex multimodal functions. Extremal Optimization (EO) is a recently developed local-search heuristic method and has been successfully applied to a wide varie...
متن کاملBaldwin Effect based Particle Swarm Optimizer for Multimodal Optimization
Particle Swarm Optimization (PSO) is an effective optimal technique. However, it often suffers from being trapped into local optima when solving complex multimodal optimizing problems due to its inefficient exploiting of feasible solution space. This paper proposes a Baldwin effect based learning particle swarm optimizer (BELPSO) to improve the performance of PSO when solving complex multimodal...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Complexity
سال: 2019
ISSN: 1076-2787,1099-0526
DOI: 10.1155/2019/4824837