Reactive Power Optimization of Distribution Network Based on Dual Population Ant Colony Algorithm
This paper has further researched on the reactive power optimization algorithm in distribution network aiming at the actual conditions that the reactive-load compensation equipment in the distribution network is insufficient and is in unreasonable ...
Y.F. Xie, W.H. Hou, L.M. Shao
doaj +1 more source
This study shows that Orius laevigatus, alone or with other predators, consistently achieved the highest suppression of Thrips parvispinus and improved plant productivity. Franklinothrips vespiformis coexisted with O. laevigatus, suggesting compatibility, while Amblyseius swirskii declined, indicating incompatibility. Individually, F. vespiformis and A.
Estefanía Rodríguez +7 more
wiley +1 more source
A Computational Field Framework for Collaborative Task Execution in Volunteer Clouds [PDF]
The increasing diffusion of cloud technologies is opening new opportunities for distributed and collaborative computing. Volunteer clouds are a prominent example, where participants join and leave the platform and collaborate by sharing their ...
Lluch-Lafuente, Alberto +7 more
core +1 more source
Microbiome‐mediated chemical communication in insects: Implications for pest management
Microbiome–semiochemical interactions involve the following processes: direct microbial synthesis, host gene regulation, precursor biotransformation, microbiome modulation and indirect ecological signaling. Abstract Insects rely on semiochemicals to regulate aggregation, mating, foraging, and host selection. This review synthesizes evidence that insect‐
Ioannis Eleftherianos +6 more
wiley +1 more source
Tuning PID Controller Using Multiobjective Ant Colony Optimization
This paper treats a tuning of PID controllers method using multiobjective ant colony optimization. The design objective was to apply the ant colony algorithm in the aim of tuning the optimum solution of the PID controllers (Kp, Ki, and Kd) by minimizing ...
Ibtissem Chiha +2 more
doaj +1 more source
Multiple Ant Colony Optimization Based on Pearson Correlation Coefficient
Ant Colony Optimization algorithms have been successfully applied to solve the Traveling Salesman Problem (TSP). However, they still have a tendency to fall into local optima, mainly resulting from poor diversity, especially in those TSPs with a lot of ...
Hongwei Zhu, Xiaoming You, Sheng Liu
doaj +1 more source
AI‐Driven Circular Construction Waste Management for Advancing Sustainable Development
ABSTRACT Construction and demolition waste (C&DW) represents up to 40% of global solid waste, posing a significant barrier to achieving circular economy (CE) objectives and the Sustainable Development Goals (SDGs), particularly SDG 11 and SDG 12. However, construction waste management (CWM) systems remain constrained by fragmented data environments ...
Mohamed T. Elnabwy, Pablo Martinez
wiley +1 more source
Key Technical Fields and Future Outlooks of Space Manipulators: A Survey
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen +12 more
wiley +1 more source
Ant colony optimisation and local search for bin-packing and cutting stock problems
The Bin Packing Problem and the Cutting Stock Problem are two related classes of NP-hard combinatorial optimization problems. Exact solution methods can only be used for very small instances, so for real-world problems, we have to rely on heuristic ...
Levine, J +3 more
core +1 more source
An efficient ant colony system based on receding horizon control for the aircraft arrival sequencing and scheduling problem [PDF]
The aircraft arrival sequencing and scheduling (ASS) problem is a salient problem in air traffic control (ATC), which proves to be nondeterministic polynomial (NP) hard.
Liu, O. +13 more
core +1 more source

