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Introduced in "Artificial Intelligence through Simulated Evolution" by Lawrence J. Fogel.
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Modern ES introduced in "Evolutionsstrategie – Optimierung technischer Systeme nach Prinzipien der biologischen Evolution" by Ingo Rechenberg, and outperformed in "Numerische Optimierung von Computer-Modellen" (1974) by Hans-Paul Schwefel. Other first approaches already existed in the 1960s.
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Modern GA introduced in "Adaptation in Natural and Artificial Systems" by John Holland. Previous works by Alex Fraser (1970) and Hans-Joachim Bremermann (1966) already performed some simulations using all the elements of GA.
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Modern "tree-based" GP introduced in "A Representation for the Adaptive Generation of Simple Sequential Programs" by Nichael L. Cramer. In 1992, John R. Koza extended this approach to the common GP used nowadays in "Genetic Programming".
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Introduced in "Multiple objective optimization with vector evaluated genetic algorithm" by David Schaffer
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Introduced in "Stochastic Searching Networks" by John M. Bishop.
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Introduced in "On Evolution, Search, Optimization, Genetic Algorithms and Martial Arts: Towards Memetic Algorithms" by Pablo Moscato.
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Introduced in "Micro-Genetic Algorithms For Stationary And Non-Stationary Function Optimization" by Kalmanje Krishnakumar.
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Introduced in "Optimization, Learning and Natural Algorithms" by Marco Dorigo
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Introduced in "Genetic Algorithms for Multiobjective Optimization: Formulation, Discussion and Generalization" by Carlos Fonseca and Peter Flemming.
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Introduced in "An introduction to cultural algorithms" by Robert G. Reynolds
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Introduced in "A biologically inspired immune system for computers" by Jeff Kephart. There exists some previous works on immune networks by Farmer, Packard and Perelson (1986) and Bersini and Varela (1990); and on negative selection by Forrest et al. (1994).
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Introduced in "Muiltiobjective optimization using nondominated sorting in genetic algorithms" by N. Srinivas and Kalyanmoy Deb
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Introduced in "A niched Pareto genetic algorithm for multiobjective optimization" by Jeffrey Horn, N. Nafpliotis, David E. Goldberg.
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Introduced in "Particle Swarm Optimization" by Kennedy, Eberhart and Shi
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Introduced in "Multi-objective genetic local search algorithm" by Ishibuchi and Murata
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Introduced in "From Recombination of Genes to the Estimation of Distributions I. Binary Parameters" by Mühlenbein and Paass.
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Introduced in "Parallel Genetic Programming" by Peter J. Angeline and Kenneth E. Kinnear.
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Introduced by Rainer Storn and Kenneth Price in "Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces".
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Introduced in "MAX–MIN ant system" by Thomas Stützle and Holger Hoos
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Introduced in "Ant Colony System : A Cooperative Learning Approach to the Traveling Salesman Problem" by Dorigo and Gambardella.
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Introduced in "Grammatical Evolution: Evolving Programs for an Arbitrary Language" by Conor Ryan, J. J. Collins and Michael O'Neill.
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Introduced in "Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach" by Eckart Zitzler and Lothar Thiele
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Introduced in "BOA: The Bayesian optimization algorithm" by Pelikan, Goldberg and Cantú-Paz.
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Introduced in "Approximating the nondominated front using the pareto archived evolution strategy" by Joshua Knowles and David Corne.
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Introduced in "The Pareto envelope-based selection algorithm for multiobjective optimization" by Corne, Knowles and Oates.
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Introduced in "Completely Derandomized Self-Adaptation in Evolution Strategies" by Nikolaus Hansen and Andreas Ostermeier.
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Introduced in "Gene Expression Programming: A New Adaptive Algorithm for Solving Problems" by Cándida Ferreira.
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Introduced in "A new heuristic optimization algorithm: Harmony Search" by Zong Woo Geem, Joong Hoon Kim, and G. V. Loganathan.
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Introduced in "SPEA2: Improving the strength Pareto evolutionary algorithm" by Zitzler, Laumanns and Thiele.
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Introduced in "PESA-II: Region-based selection in evolutionary multiobjective optimization" by David Corne.
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Introduced in "Guidance in evolutionary multi-objective optimization" by Jurgen Branke.
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Introduced in "PDE: a Pareto-frontier differential evolution approach for multi-objective optimization problems" by Abbass, Sarker and Newton.
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Introduced in "Learning and Optimization Using the Clonal Selection Principle" by Leandro de Castro
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Introduced in "A fast and elitist multiobjective genetic algorithm: NSGA-II" by Kalyanmoy Deb
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Introduced in "The self-adaptive pareto differential evolution algorithm" by Abbass
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Introduced in "Biomimicry of bacterial foraging for distributed optimization and control" by Passino.
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Introduced in "Immune Inspired Somatic Contiguous Hypermutation for Function Optimisation" by Kelsey and Timmis.
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Introduced in "The micro genetic algorithm 2: Towards online adaptation in evolutionary multiobjective optimization" by Toscano-Pulido and Coello-Coello.
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Introduced in "An evolution strategy with probabilistic mutation for multi-objective optimisation" by Huband, Hingston, While and Barone.
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Introduced in "MONACO: multi-objective network optimisation based on an ACO" by Pedro Cardoso
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Introduced in "Solving multi-criteria optimization problems with population-based ACO" by Guntsch and Middendorf.
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Introduced in "MOIA: Multi-objective immune algorithm" by Luh, Chueh and Liu.
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Introduced in "Pareto-based Multi-Objective Differential Evolution" by Xue, Sanderson and Graves.
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Introduced in "Society and civilization: An optimization algorithm based on the simulation of social behavior" by Tapabrata Ray and KM Liew.
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Introduced in "An Electromagnetism-like Mechanism for Global Optimization" by Ş İlker Birbil and Shu-Chering Fang.
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Introduced in "Hierarchical Social Algorithms: A New Metaheuristic for Solving Discrete Bilevel Optimization Problems" by Felipe Fernández, Abraham Duarte and Ángel Sánchez
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Introduced in "Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm" by Watkins,Timmis and Boggess.
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Introduced in "Indicator-based selection in multiobjective search" by Zitzler and Künzli
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Introduced in "Pareto ant colony optimization: A metaheuristic approach to multiobjective portfolio selection" by Doerner, Gutjahr, Hartl, Strauss and Stummer.
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Introduced in "Covering pareto-optimal fronts by subswarms in multi-objective particle swarm optimization" by Sanaz Mostaghim and Jurgen Teich.
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Introduced in "Autonomous agent response learning by a multi-species particle swarm optimization" by Chow and Tsui.
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Introduced in "A Novel Multiobjective Immune Algorithm
using Nondominated Sorting" by Campelo, Guimaraes, Saldanhay, Igarashi, Noguchi, Lowtherz and Ramirez. -
Introduced in "Solving rotated multi-objective optimization problems using differential evolution" by Iorio and Li.
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Introduced in "An extension of generalized differential evolution for multi-objective optimization with constraints" by Kukkonen and Lampinen.
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Introduced in "Evaluation of Comprehensive Learning Particle Swarm Optimizer" by J.J.Liang et al.
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Introduced in "The Bees Algorithm" by Pham, Ghanbarzadeh, Koc, Otri, Rahim and Zaidi.
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Introduced in "An Idea Based on Honey Bee Swarm For Numerical Optimization" by Dervis Karaboga.
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Introduced in "Evaluating the ε-domination based multi-objective evolutionary algorithm for a quick computation of pareto-optimal solutions" by Kalyanmoy Deb.
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Introduced in "An EMO Algorithm Using the Hypervolume Measure as Selection Criterion" by Emmerich, Beume and Naujoks. An improved version is published in "SMS-EMOA: Multiobjective selection based on dominated hypervolume" (2007).
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Introduced in "Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and ∈-Dominance" by Reyes-Sierra and Coello-Coello.
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Introduced in "Multiobjective Optimization by a Modified Artificial Immune System Algorithm" by Fabio Freschi and Maurizio Repetto.
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Introduced in "DE/EDA: A new evolutionary algorithm for global optimization" by Sun, Zhang and Tsang.
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Introduced in "Clonal Selection with Immune Dominance and Anergy Based Multiobjective Optimization" by Jiao, Gong, Shang, Du and Lu
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Introduced in "IFMOA: Immune Forgetting Multiobjective Optimization Algorithm" by Lu, Jiao, Du and Gong
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Introduced in "DEMO: Differential Evolution for Multiobjective Optimization" by Robič and Filipič.
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Introduced in "GDE3: The third evolution step of generalized differential evolution" by Kukkonen and Lampinen
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Introduced in "An algorithm based on differential evolution for multi-objective problems" by Santana-Quintero and Coello Coello.
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Introduced in "Detection of multiple source locations using a glowworm metaphor with applications to collective robotics" by Krishnanand and Ghose.
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Introduced in "A restart CMA evolution strategy with increasing population size" by Anne Auger and Nikolaus Hansen.
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Introduced in "Reference point based multi-objective optimization using evolutionary algorithms" by Deb and Sundar.
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Introduced in "Cultured differential evolution for constrained optimization" by Landa-Becerra and Coello-Coello.
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Introduced in "Shuffled frog-leaping algorithm: A memetic meta-heuristic for discrete optimization" by Eusuff, Lansey and Pasha.
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Introduced in "A Multiobjective Differential Evolution Based on Decomposition for Multiobjective Optimization with Variable Linkages" by Li and Zhang.
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Introduced in "A new optimization method: big bang–big crunch" by Osman K. Erol and Ibrahim Eksin.
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Introduced in "A novel search algorithm based on fish school behavior" by Bastos-Filho and Lima-Neto
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Introduced in "MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition" by Qingfu Zhang and Hui Li
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Introduced in "Covariance matrix adaptation for multi-objective optimization" by Igel, Hansen and Roth.
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Introduced in "Imperialist Competitive Algorithm: An algorithm for optimization inspired by imperialistic competition" by Atashpaz-Gargari and Lucas.
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Introduced in "Using River Formation Dynamics to Design Heuristic Algorithms" by Rabanal, Rodríguez, and Rubio.
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Introduced in "Monkey search: a novel metaheuristic search for global optimization" by Antonio Mucherino and Onur Seref.
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Introduced in "SPAM: Set Preference Algorithm for Multiobjective Optimization" by Zitzler, Thiele and Bader.
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Introduced in "A decomposition-based multi-objective particle swarm optimization algorithm for continuous optimization problems" by Peng and Zhang.
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Introduced in "AbYSS: Adapting scatter search to multiobjective optimization" by Nebro, Luna, Alba, Dorronsoro, Durillo and Beham.
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Introduced in "RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm" by Zhang, Zhou and Jin.
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Introduced in "Multiobjective immune algorithm with nondominated neighbor-based selection" by Gong, Jiao, Du and Bo.
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Introduced in "Nature-Inspired Metaheuristic Algorithms" by Xin-She Yang.
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Introduced by "Biogeography-based optimization" by Dan Simon
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Introduced in "Smpso: A new pso-based metaheuristic for multi-objective optimization" by Nebro, Durillo, Garcia-Nieto, Coello-Coello, Luna and Alba.
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Introduced in "Mocell: A cellular genetic algorithm for multiobjective optimization" by Nebro, Durillo, Luna, Dorronsoro and Alba.
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Introduced in "Cuckoo search via Lévy flights" by Xin-She Yang and Suash Deb.
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Introduced in "Problem solving by intelligent water drops" by Shah-Hosseini.
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Introduced in "GSA: a gravitational search algorithm" by Rashedi, Nezamabadi-pour and Saryazdi.
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Introduced in "League championship algorithm: a new algorithm for numerical function optimization" by AH Kashan.
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Introduced in "The Linkage Tree Genetic Algorithm" by Dirk Thierens.
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Introduced in "Micro-MOPSO: A Multi-Objective Particle Swarm Optimizer That Uses a Very Small Population Size" by Fuentes-Cabrera and Coello-Coello.
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Introduced in "Fireworks Algorithm for Optimization" by Ying Tan and Yuanchun Zhu.
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Introduced in "A New Metaheuristic Bat-Inspired Algorithm" by Xin-She Yang.
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Introduced in "HypE: An algorithm for fast hypervolume-based many-objective optimization" by Bader and Zitzler.
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Introduced in "Finding evenly spaced fronts for multiobjective control via averaging Hausdorff-measure" by Gerstl, Rudolph, Schütze and Trautmann. An extension for three objectives was published in "A Multiobjective Evolutionary Algorithm Guided by Averaged Hausdorff Distance to Aspiration Sets" (2012).
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Introduced in "Anarchic Society Optimization: A human-inspired method" by Amir Ahmadi Javid.
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Introduced in "Brain storm optimization algorithm" by Yuhui Shi.
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Introduced in "A new multi-objective evolutionary algorithm based on a performance assessment indicator" by Rodriguez-Villalobos and Coello-Coello
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Introduced in "Flower pollination algorithm for global optimization" by Xin-She Yang.
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Introduced in "A new meta-heuristic method: ray optimization" by A Kaveh and M Khayatazad.
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Introduced in "Mine blast algorithm: A new population based algorithm for solving constrained engineering optimization problems" by A Sadollah, A Bahreininejad, H Eskandar and M Hamdi
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Introduced in "R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection" by Trautmann, Wagner and Brockhoff.
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Introduced in "MOMBI: A new metaheuristic for many-objective optimization based on the R2 indicator" by Hernández-Gómez and Coello-Coello
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Introduced in "R2-IBEA: R2 indicator based evolutionary algorithm for multiobjective optimization" by Dũng H. Phan and Junichi Suzuki.
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Introduced in "Cuttlefish Algorithm – A Novel Bio-Inspired Optimization Algorithm" by Eesa, Mohsin, Brifcani and Orman.
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Introduced in "Water cycle algorithm–A novel metaheuristic optimization method for solving constrained engineering optimization problems" by H Eskandar, A Sadollah, A Bahreininejad and M Hamdi
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Introduced in "Success-history based parameter adaptation for differential evolution" by Ryoji Tanabe and Alex Fukunaga.
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Introduced in "An Evolutionary Many-Objective Optimization Algorithm Using Reference-point Based Non-dominated Sorting Approach, Part I: Solving Problems with Box Constraints" by Deb and Jain
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Introduced in "The Coral Reefs Optimization Algorithm: A Novel Metaheuristic for Efficiently Solving Optimization Problems" by Salcedo-Sanz, Del Ser, Landa-Torres, Gil-López and Portilla-Figueras.
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Introduced in "Grey wolf optimizer" by Seyedali Mirjalili, SM Mirjalili and A. Lewis.
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Introduced in "Improved Metaheuristic Based on the R2 Indicator for Many-Objective Optimization" by Hernández-Gómez and Coello-Coello.
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Introduced in "A preference-based evolutionary algorithm for multiobjective optimization: the weighting achievement scalarizing function genetic algorithm" by Ana Belén Ruiz, Rubén Saborido and Mariano Luque.
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Introduced in "Human Swarms, a real-time paradigm for collective intelligence" by Louis Rosenberg.
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Introduced in "Prey-predator algorithm: a new metaheuristic algorithm for optimization problems" by SL Tilahun and HC Ong.
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Introduced in "Artificial algae algorithm (AAA) for nonlinear global optimization" by SA Uymaz, G Tezel and E Yel.
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Introduced in "Monarch butterfly optimization" by GG Wang, S Deb and Z Cui.
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Introduced in "Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization" by Seyedali Mirjalili, Shahrzad Saremi, Seyed Mohammad Mirjalili and Leandro dos S. Coelho
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Introduced in "Global WASF-GA: An Evolutionary Algorithm in Multiobjective Optimization to Approximate the Whole Pareto Optimal Front" by Rubén Saborido, Ana B. Ruiz and Mariano Luque.
