TDSD: A New Evolutionary Algorithm Based on Triple Distinct Search Dynamics
IEEE Access, 2020 Spherical evolution is a recently proposed nature-inspired meta-heuristic algorithm which is proven to have nontrivial efficiency and effectiveness in solving complex optimization problems.
Xiaosi Li +5 more
doaj +1 more source
Hybridization of Decomposition and Local Search for Multiobjective Optimization [PDF]
IEEE Transactions on Cybernetics, 2014 Combining ideas from evolutionary algorithms, decomposition approaches, and Pareto local search, this paper suggests a simple yet efficient memetic algorithm for combinatorial multiobjective optimization problems: memetic algorithm based on decomposition (MOMAD).
Ke, Liangjun +2 more
openaire +4 more sources
Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
Molecular Oncology, EarlyView.Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra +6 more
wiley +1 more source
Memes Evolution in a Memetic Variant of Particle Swarm Optimization
Mathematics, 2019 In this work, a coevolving memetic particle swarm optimization (CoMPSO) algorithm is presented. CoMPSO introduces the memetic evolution of local search operators in particle swarm optimization (PSO) continuous/discrete hybrid search spaces.
Umberto Bartoccini +3 more
doaj +1 more source
A Self-Adaptive Heuristic Algorithm for Combinatorial Optimization Problems [PDF]
International Journal of Computational Intelligence Systems, 2014 This paper introduces a new self-tuning mechanism to the local search heuristic for solving of combinatorial optimization problems. Parameter tuning of heuristics makes them difficult to apply, as parameter tuning itself is an optimization problem.
Cigdem Alabas-Uslu, Berna Dengiz
doaj +1 more source
Implementation of a fixing strategy and parallelization in a recent global optimization method [PDF]
, 2008 Electromagnetism-like Mechanism (EM) heuristic is a population-based stochastic global optimization method inspired by the attraction-repulsion mechanism of the electromagnetism theory.
Birbil, S. Ilker +3 more
core
Learning to Control Local Search for Combinatorial Optimization
, 2023 Accepted at ECML-PKDD ...
Falkner, Jonas K. +3 more
openaire +2 more sources
Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications
FEBS Open Bio, EarlyView.This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley +1 more source
A Discrete Sine Optimization Algorithm for No-Idle Flow-Shop Scheduling Problem
Shanghai Jiaotong Daxue xuebao, 2020 Aimed at the no-idle flow-shop scheduling problem (NIFSP) with minimized makespan, a discrete sine optimization algorithm (DSOA) is proposed. Inspired by sine waveforms, the original sine optimization algorithm (SOA) is a global optimization algorithm ...
ZHAO Rui, GU Xingsheng
doaj +1 more source
Particle algorithms for optimization on binary spaces
, 2011 We discuss a unified approach to stochastic optimization of pseudo-Boolean objective functions based on particle methods, including the cross-entropy method and simulated annealing as special cases.
Schäfer, Christian
core +2 more sources