Suchergebnisse - branch and sound knapsack (problem OR problemys) multiobjective evolution algorithms

Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach.

Autoren: Zitzler, Eckart Thiele, Lothar

Quelle: IEEE Transactions on Evolutionary Computation; Nov1999, Vol. 3 Issue 4, p257, 15p

Schlagwörter: ALGORITHMS, KNAPSACK problems, CLUSTER analysis (Statistics), SYSTEMS software, MATHEMATICAL optimization

A review: location of charging and/or battery swapping stations for electrical vehicles.

Autoren: Cao, Boyue Chu, Chengbin

Quelle: International Journal of Production Research; Dec2025, Vol. 63 Issue 24, p10633-10676, 44p

CHAOS THEORY, ADVANCED METAHEURISTIC ALGORITHMS AND THEIR NEWFANGLED DEEP LEARNING ARCHITECTURE OPTIMIZATION APPLICATIONS: A REVIEW.

Autoren: AKGUL, AKIF KARACA, YELl̇Z PALA, MUHAMMED ALI et al.

Quelle: Fractals; 2024, Vol. 32 Issue 3, p1-27, 27p

Schlagwörter: DEEP learning, METAHEURISTIC algorithms, ARTIFICIAL neural networks, CHAOS theory, TRAJECTORY optimization, BENCHMARK problems (Computer science)

Synergistic integration of metaheuristics and machine learning: latest advances and emerging trends.

Autoren: Zhang, Ruining Wang, Jian Liu, Chanjuan et al.

Quelle: Artificial Intelligence Review; Sep2025, Vol. 58 Issue 9, p1-64, 64p

Schlagwörter: MACHINE learning, ARTIFICIAL intelligence, INTELLIGENCE levels, IMAGE processing, ALGORITHMS

Design of complex pipeline layout based on quantum-inspired simulated annealing algorithm.

Autoren: Li, Nianhuan Li, Junye Zou, Tiangang et al.

Quelle: Engineering Computations; 2025, Vol. 42 Issue 10, p3969-3990, 22p

Metaheuristics for Solving Global and Engineering Optimization Problems: Review, Applications, Open Issues and Challenges: Metaheuristics for Solving Global and Engineering Optimization Problems...: E. H. Houssein et al.

Autoren: Houssein, Essam H. Saeed, Mahmoud Khalaf Hu, Gang et al.

Quelle: Archives of Computational Methods in Engineering; Dec2024, Vol. 31 Issue 8, p4485-4519, 35p

A job scheduling and rejection problem considering self-contained and cross-functional jobs.

Autoren: Chen, Yu-Chuan Wang, Jen-Ya

Quelle: RAIRO: Operations Research (2804-7303); 2024, Vol. 58 Issue 5, p4589-4605, 17p

Schlagwörter: GENETIC algorithms, ASSEMBLY line methods, OUTCROSSING (Biology), CHROMOSOMES, EXPERTISE

Canonical Duality Theory and Algorithm for Solving Bilevel Knapsack Problems With Applications.

Autoren: Gao, David Yang

Quelle: IEEE Transactions on Systems, Man & Cybernetics. Systems; Feb2021, Vol. 51 Issue 2, p893-904, 12p

Schlagwörter: KNAPSACK problems, DUALITY theory (Mathematics), BACKPACKS, ALGORITHMS, BENCHMARK problems (Computer science), ANALYTICAL solutions

Geografische Kategorien: AUSTRALIA

A Multi–Objective Gaining–Sharing Knowledge-Based Optimization Algorithm for Solving Engineering Problems.

Autoren: Chalabi, Nour Elhouda Attia, Abdelouahab Alnowibet, Khalid Abdulaziz et al.

Quelle: Mathematics (2227-7390); Jul2023, Vol. 11 Issue 14, p3092, 37p

Schlagwörter: OPTIMIZATION algorithms, PROBLEM solving, PARETO optimum, MATHEMATICAL optimization, POWER electronics, TACIT knowledge

A Review on Evolutionary Multitask Optimization: Trends and Challenges.

Autoren: Wei, Tingyang Wang, Shibin Zhong, Jinghui et al.

Quelle: IEEE Transactions on Evolutionary Computation; Oct2022, Vol. 26 Issue 5, p941-960, 20p

Schlagwörter: EVOLUTIONARY algorithms, EVOLUTIONARY computation, PROBLEM solving, TASK analysis

Advancements in Optimization: Critical Analysis of Evolutionary, Swarm, and Behavior-Based Algorithms.

Autoren: Rashed, Noor A. Ali, Yossra H. Rashid, Tarik A.

Quelle: Algorithms; Sep2024, Vol. 17 Issue 9, p416, 47p

Schlagwörter: METAHEURISTIC algorithms, OPTIMIZATION algorithms, EVOLUTIONARY algorithms, PARTICLE swarm optimization, BIBLIOMETRICS

Quantum-inspired meta-heuristic approaches for a constrained portfolio optimization problem.

Autoren: Gunjan, Abhishek Bhattacharyya, Siddhartha

Quelle: Evolutionary Intelligence; Aug2024, Vol. 17 Issue 4, p3061-3100, 40p

Nature-Inspired Heuristic Frameworks Trends in Solving Multi-objective Engineering Optimization Problems.

Autoren: Chang, Clifford Choe Wei Ding, Tan Jian Ee, Chloe Choe Wei et al.

Quelle: Archives of Computational Methods in Engineering; Aug2024, Vol. 31 Issue 6, p3551-3584, 34p

A New Set of Mutation Operators for Dragonfly Algorithm.

Autoren: Salgotra, Rohit Singh, Urvinder Singh, Supreet et al.

Quelle: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Sep2021, Vol. 46 Issue 9, p8761-8802, 42p

Schlagwörter: DIFFERENTIAL evolution, SEARCH algorithms, BENCHMARK problems (Computer science), PARTICLE swarm optimization, ALGORITHMS, COVARIANCE matrices, MATHEMATICAL optimization, PHYSIOLOGICAL adaptation

A brief review on quantum computing based drug design.

Autoren: Das, Poulami Ray, Avishek Bhattacharyya, Siddhartha et al.

Quelle: WIREs: Data Mining & Knowledge Discovery; Nov2024, Vol. 14 Issue 6, p1-36, 36p

Schlagwörter: DRUG development, DRUG design, OPTIMIZATION algorithms, QUANTUM computing, COMPUTER-aided design

Energy Management System using Particle Swarm Optimization for Operating Costs Reduction in AC Microgrids with Battery Storage during Grid-Connected and Islanded Operation.

Alternate Title: Sistema de gestión de energía mediante optimización por enjambre de partículas para la reducción de costos operativos en microrredes de CA con almacenamiento en baterías durante la operación interconectada y aislada. (Spanish)

Autoren: Figueroa-Saavedra, Hugo Alessandro Grisales Noreña, Luis Fernando Cortés Caicedo, Brandon

Quelle: Ingeniería (0121-750X); may-ago2025, Vol. 30 Issue 2, p1-32, 32p

Schlagwörter: PARTICLE swarm optimization, OPERATING costs, ENERGY management, STORAGE batteries, COST control, MICROGRIDS

Multiclass feature selection with metaheuristic optimization algorithms: a review.

Autoren: Akinola, Olatunji O. Ezugwu, Absalom E. Agushaka, Jeffrey O. et al.

Quelle: Neural Computing & Applications; Nov2022, Vol. 34 Issue 22, p19751-19790, 40p

Schlagwörter: METAHEURISTIC algorithms, FEATURE selection, SWARM intelligence, MATHEMATICAL optimization, MACHINE learning, PROBLEM solving

A Pragmatic Review of QoS Optimisations in IoT Driven Networks.

Autoren: Sahoo, Satyabrat Sahoo, Satya Prakash Kabat, Manas Ranjan

Quelle: Wireless Personal Communications; Jul2024, Vol. 137 Issue 1, p325-366, 42p

Schlagwörter: AD hoc computer networks, PRAGMATICS, 5G networks, INTERNET of things, WIRELESS Internet, ENERGY infrastructure, QUALITY of service

A quantum multi-objective optimization algorithm based on harmony search method.

Autoren: Sadeghi Hesar, Alireza Kamel, Seyed Reza Houshmand, Mahboobeh

Quelle: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Jul2021, Vol. 25 Issue 14, p9427-9439, 13p

Schlagwörter: EVOLUTIONARY algorithms, MATHEMATICAL optimization, PARETO optimum, PROBLEM solving, ALGORITHMS, TABU search algorithm, QUANTUM operators, SEARCH algorithms

Optimizing parameter settings for hopfield neural networks using reinforcement learning.

Autoren: Rbihou, Safae Joudar, Nour-Eddine Haddouch, Khalid

Quelle: Evolving Systems; Dec2024, Vol. 15 Issue 6, p2419-2440, 22p