Results 31 to 40 of about 2,175,305 (107)
Ant-Set: A Subset-Oriented Ant Colony Optimization Algorithm for the Set Covering Problem [PDF]
This paper proposes an algorithm for the set covering problem based on the metaheuristic Ant Colony Optimization (ACO) called Ant-Set, which uses a lineoriented approach and a novelty pheromone manipulation based on the connections between components of ...
Murilo Falleiros Lemos Schmitt +4 more
doaj +3 more sources
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
Building Blocks as Experiences in Dynamic Capacitated Arc Routing Problems
ABSTRACT The dynamic capacitated arc routing problem (DCARP) aims to update the service paths of vehicles in the capacitated arc routing problem when uncertain factors deteriorate the current schedule of vehicles' services. A DCARP scenario comprises a series of DCARP instances that share similarities with each other. Therefore, optimisation experience
Hao Tong +4 more
wiley +1 more source
Optimum Design of Power System Stabilizer based on Improved Ant Colony Optimization Algorithm
This paper presents an improved technique on Ant Colony Optimization (ACO) algorithm. The procedure is applied on Single Machine with Infinite Bus (SMIB) system with power system stabilizer (PSS) at three different loading regimes.
Ruba AL-MulaHumadi +2 more
doaj +2 more sources
Efficient exact formulations for the flexible job shop scheduling with flexible maintenance
Abstract In modern manufacturing systems, integrating preventive maintenance into production scheduling is essential to ensure operational efficiency and equipment reliability. This paper addresses the flexible job shop scheduling problem under machine unavailability constraints caused by non‐fixed maintenance tasks.
Tom Perroux +4 more
wiley +1 more source
A Critical Analysis of Optimization Algorithms for Cultural Heritage Conservation and Management
Methodological framework and decision‐support roadmap for optimization algorithms in cultural heritage conservation and management. ABSTRACT Heritage buildings symbolize cultural identity, architectural character, and historical epitome of communities.
Eslam Mohammed Abdelkader +6 more
wiley +1 more source
A multiscale framework integrating electronic, mechanical, and thermal analysis with machine learning to optimize carbon nanotube interconnects. As the component dimensions in integrated circuits shrink to extreme scales, the complexity of interconnect systems is increasing significantly, necessitating an urgent and comprehensive upgrade of ...
Changhong Zhang +11 more
wiley +1 more source
Abstract BACKGROUND Enzymatic browning is a significant reaction in fruits that affects their color, appearance, and quality. The quality of apples, as a perishable product, is mainly influenced by the activity of two browning‐related enzymes, polyphenol oxidase (PPO) and peroxidase (POD), during storage.
Tarahom Mesri Gundoshmian +5 more
wiley +1 more source
An ACO model for a non-stationary formulation of the single elevator problem
The Ant Colony Optimization (ACO) metaheuristic is a bio-inspired approach for hard combinatorial optimization problems for stationary and non-stationary environments.
Silvia Molina +2 more
doaj
Edge detection in digital images using Ant Colony Optimization [PDF]
Ant Colony Optimization (ACO) is an optimization algorithm inspired by the behavior of real ant colonies to approximate the solutions of difficult optimization problems. In this paper, ACO is introduced to tackle the image edge detection problem.
Marjan Kuchaki Rafsanjani +1 more
doaj

