Search Results - "Population-based​ algorithm"

Efficient non-population-based algorithms for the permutation flowshop scheduling problem with makespan minimisation subject to a maximum tardiness by Fernandez-Viagas, Victor, Framinan, Jose M.

“…This paper focuses on the problem of scheduling jobs in a permutation flowshop with the objective of makespan minimisation subject to a maximum allowed tardiness for the jobs, a problem that combines…”
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SIMULATION-BASED HEADWAY OPTIMIZATION FOR A SUBWAY NETWORK: A PERFORMANCE COMPARISON OF POPULATION-BASED ALGORITHMS by Schmaranzer, David, Braune, Roland, Doerner, Karl F.

“… The number of waiting passengers on platforms and within vehicles are subject to capacity restrictions…”
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A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation by Zille, Heiner, Ishibuchi, Hisao, Mostaghim, Sanaz, Nojima, Yusuke

“… solutions in the reduced subspace. This involves so-called weights that are applied to alter the decision variables and are also subject to optimization…”
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Extended two-stage adaptive designs with three target responses for phase II clinical trials by Kim, Seongho, Wong, Weng Kee

“…We develop a nature-inspired stochastic population-based algorithm and call it discrete particle swarm optimization to find extended two-stage adaptive optimal designs that allow three target response…”
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Quantum particles-enhanced multiple Harris Hawks swarms for dynamic optimization problems by Gölcük, İlker, Ozsoydan, Fehmi Burcin

“…•Improvements over the canonical HHO are achieved. Dynamic optimization problems (DOPs) have been a subject of considerable research interest mainly due to their widespread application potential…”
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Evolutionary Computation & Swarm Intelligence

“…) and Swarm Intelligence (SI). The latter are broad and still growing subjects in Computer Science in the study of metaheuristic approaches, i.e…”
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A novel ensemble statistical topic extraction method for scientific publications based on optimization clustering by Abasi, Ammar Kamal, Khader, Ahamad Tajudin, Al-Betar, Mohammed Azmi, Naim, Syibrah, Makhadmeh, Sharif Naser, Alyasseri, Zaid Abdi Alkareem

“…) involves a stochastic population-based algorithm. It has been recently proposed and successfully utilized to tackle many hard optimization problems…”
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Opposition-Based Hybrid Strategy for Particle Swarm Optimization in Noisy Environments by Kang, Qi, Xiong, Caifei, Zhou, Mengchu, Meng, Lingpeng

“…Particle swarm optimization (PSO) is a population-based algorithm designed to tackle various optimization problems…”
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Least Cost Generation Expansion Planning considering Renewable Energy Resources Using Sine Cosine Algorithm by Abbas, Tauseef, Ashraf, Muhammad Mansoor, Malik, Tahir Nadeem

“… The Sine Cosine Algorithm (SCA) is a novel population-based algorithm that can handle…”
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Gain enhancement by utilizing hexagonal reflector based optimized textile antenna by Vatti, Rambabu Arjunarao, Arthi, B., Kumar, Pankaj, Prabha, R.

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Deception, blindness and disorientation in particle swarm optimization applied to noisy problems by Rada-Vilela, Juan, Johnston, Mark, Zhang, Mengjie

“…Particle swarm optimization (PSO) is a population-based algorithm designed to find good solutions to optimization problems…”
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Resampling in Particle Swarm Optimization by Rada-Vilela, Juan, Mengjie Zhang, Johnston, Mark

“…Particle Swarm Optimization (PSO) is a population-based algorithm designed to find good solutions to optimization problems…”
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Hyper-Heuristics for Two Complex Vehicle Routing Problems: The Urban Transit Routing Problem, and a Delivery and Installation Problem by Ahmed, Leena

“…Hyper-heuristics have emerged as general purpose search techniques that explore the space of low-level heuristics to improve a given solution under an…”
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An opposition-based particle swarm optimization algorithm for noisy environments by Zhou, MengChu, Zhao, Zeyu, Xiong, Caifei, Kang, Qi

“…Particle Swarm Optimization (PSO) is a population-based algorithm designed to tackle various optimization problems…”
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Simultaneous dock assignment and sequencing of inbound trucks under a fixed outbound truck schedule in multi-door cross docking operations by Liao, T.W., Egbelu, P.J., Chang, P.C.

“…This paper studies the simultaneous dock assignment and sequencing of inbound trucks for a multi-door cross docking operation with the objective to minimize…”
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Modeling and design of a multi-pole linear energy harvest system by Howard, Ross A

“…In numerous applications, there is a desire to convert energy stored in stray mechanical motion (vibration) to electromagnetic fields. In this research, an…”
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A room-oriented artificial bee colony algorithm for optimizing the patient admission scheduling problem by Bolaji, Asaju La’aro, Bamigbola, Akeem Femi, Adewole, Lawrence Bunmi, Shola, Peter Bamidele, Afolorunso, Adenrele, Obayomi, Adesoji Abraham, Aremu, Dayo Reuben, Almazroi, Abdulwahab Ali A.

“… The investigations into the performance of population-based algorithms that utilized to tackle the PAS problem considered in this paper reveal their weaknesses in obtaining quality solutions…”
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Assembly Line Balancing Problems Solved by Estimation of Distribution by Liya Gu, Hennequin, S., Sava, A., Xiaolan Xie

“… with constant variance-to-mean ratio. The ED algorithm is a population-based algorithm. The simulation results show that ED algorithm outperforms the simulated annealing…”
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A Particle Swarm Optimization Approach to the Orienteering Problem by Dallard, Herby, Lam, Sarah S Y, Kulturel-Konak, Sadan

“… It is a population-based algorithm, where a swarm of particles fly in a multi-dimensional space, guided by their social dynamics while optimizing an objective function…”
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FUZYE: A Fuzzy -Means Analog IC Yield Optimization Using Evolutionary-Based Algorithms by Canelas, Antonio, Povoa, Ricardo, Martins, Ricardo, Lourenco, Nuno, Guilherme, Jorge, Carvalho, Joao Paulo, Horta, Nuno

“…) simulations in the context of analog integrated circuits (ICs) yield estimation, enabling it for yield optimization with population-based algorithms, e.g…”
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