Results 91 to 100 of about 65,434 (314)

Heuristics for the Distributed Breakout Algorithm [PDF]

, 2004
Distributed Constraint Satisfaction Problems (DisCSP) is a very powerfulparadigm applicable for a wide range of coordination and problem solving tasks in distributed artificial intelligence. There are a number of distributed algorithms that were developed for this kind of problems.
openaire   +1 more source

Silicon‐Embedded Multifunctional Heterogeneous Integration for Miniaturized Photoplethysmography Detection Devices

Advanced Science, EarlyView.
ABSTRACT The multifunctional integration of chips with high flexibility and scalable manufacturing is crucial for enhancing chip performance, reducing chip size, and simplifying chip design. However, balancing volume, cost, flexibility, and functionality using traditional heterogeneous integration methods is challenging.
Lang Chen, Shizun Hu, Zhou Yang, Shitao Shen, Pan Zhang, Han Xu, Chi Zhang, Wei Wang   +7 more
wiley   +1 more source

A Hybrid Heuristic Harmony Search Algorithm for the Vehicle Routing Problem With Time Windows

IEEE Access
In this paper, we present a hybrid heuristic method based on the harmonic search algorithm to solve the vehicle routing problem with time windows. The importance of efficient path planning in logistics and supply chain management is emphasized herein ...
Yang Zhang, Jiacheng Li
doaj   +1 more source

Sustainable Phosphorus Fertilizer Supply Chain Management to Improve Crop Yield and P Use Efficiency Using an Ensemble Heuristic–Metaheuristic Optimization Algorithm [PDF]

, 2023
Mohammad Shokouhifar, Mahnaz Sohrabi, Motahareh Rabbani, Seyyed Mohammad Hadji Molana, Frank Werner   +4 more
openalex   +1 more source

Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation

Advanced Science, EarlyView.
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar, Yannaël Bossard, Rachel Sava, Tobias Gänswein, Lorenca Sadiraj, Jean‐Samuel Dupré, Manuel Schröter, J. Gray Camp, Fernando Cardes, Julian Bartram, Andreas Hierlemann   +10 more
wiley   +1 more source

Study on Near-Optimal Path Finding Strategies in a Road Network

Journal of Algorithms & Computational Technology, 2008
In this paper we analyze the existing defects of hierarchical and nonhierarchical path finding algorithm respectively in detail and present a hierarchical path finding algorithm based on the heuristic directing search approach which is used for promoting
Shi Jun, Li Jian-Yuan, Cao Han, Wang Xi-Li   +3 more
doaj   +1 more source

Comparison of modern heuristic algorithms for loss reduction in power distribution network equipped with renewable energy resources

Ain Shams Engineering Journal, 2018
This paper presents a comparison between four modern heuristic algorithms for optimal loss reduction of power distribution network equipped with renewable energy resources.
Amr M. Ibrahim, Rania A. Swief
doaj   +1 more source

A hybrid scatter search. Electromagnetism meta-heuristic for project scheduling. [PDF]

In the last few decades, several effective algorithms for solving the resource-constrained project scheduling problem have been proposed. However, the challenging nature of this problem, summarised in its strongly NP-hard status, restricts the ...
Debels, D, De Reyck, B, Vanhoucke, M, Leus, Roel   +3 more
core  

Diffusion‐Based Generative Model With Scaffold‐Hopping Strategy Yields Highly Potent Bioactive Molecules

Advanced Science, EarlyView.
SMarT‐Diff introduces a multi‐objective generative paradigm that integrates scaffold hopping with structure‐aware scoring to enable controlled exploration beyond the training distribution. The framework consistently balances drug‐likeness, synthesizes accessibility and bioactivity, yielding chemically diverse candidates with enhanced properties.
Yuwei Yang, Xiaoqing Gong, Shukai Gu, Jing Li, Bo Liu, Yanan Tian, Qianqian Zhang, Xiaojun Yao, Huanxiang Liu   +8 more
wiley   +1 more source

A Heuristic Approach to Portfolio Optimization [PDF]

Constraints on downside risk, measured by shortfall probability, expected shortfall, semi-variance etc., lead to optimal asset allocations which differ from the meanvariance optimum.
Evis Këllezi, Manfred Gilli
core