GP-rush: using genetic programming to evolve solvers for the rush hour puzzle. - Ami Hauptman; Achiya Elyasaf; Moshe Sipper; Assaf Karmon (GECCO, 2009)

Evolving Hyper Heuristic-Based Solvers for Rush Hour and FreeCell. - Ami Hauptman; Achiya Elyasaf; Moshe Sipper (SOCS, 2010)

GA-FreeCell: evolving solvers for the game of FreeCell. - Achiya Elyasaf; Ami Hauptman; Moshe Sipper (GECCO, 2011)

Evolving Solvers for FreeCell and the Sliding-Tile Puzzle. - Achiya Elyasaf; Yael Zaritsky; Ami Hauptman; Moshe Sipper (SOCS, 2011)

Evolutionary Design of FreeCell Solvers. - Achiya Elyasaf; Ami Hauptman; Moshe Sipper (IEEE Trans. Comput. Intell. AI Games, 2012)

A heuristiclab evolutionary algorithm for FINCH. - Achiya Elyasaf; Michael Orlov; Moshe Sipper (GECCO (Companion), 2013)

HH-evolver: a system for domain-specific, hyper-heuristic evolution. - Achiya Elyasaf; Moshe Sipper (GECCO (Companion), 2013)

Software review: the HeuristicLab framework. - Achiya Elyasaf; Moshe Sipper (Genet. Program. Evolvable Mach., 2014)

Learning Heuristics for Mining RNA Sequence-Structure Motifs. - Achiya Elyasaf; Pavel Vaks; Nimrod Milo; Moshe Sipper; Michal Ziv-Ukelson (GPTP, 2015)

Evolving Artificial General Intelligence for Video Game Controllers. - Itay Azaria; Achiya Elyasaf; Moshe Sipper (GPTP, 2016)

Six (Im)possible Things before Breakfast: Building-Blocks and Design-Principles for Wise Computing. - Assaf Marron; Brit Arnon; Achiya Elyasaf; Michal Gordon; Guy Katz; Hadas Lapid; Rami Marelly; Dana Sherman; Smadar Szekely; Gera Weiss; David Harel (D&P@MoDELS, 2016)

Towards Integration of Context-Based and Scenario-Based Development. - Achiya Elyasaf; David Harel; Assaf Marron; Gera Weiss (STAF Workshops, 2017)

A Context-Based Behavioral Language for IoT. - Achiya Elyasaf; Assaf Marron; Arnon Sturm; Gera Weiss (MoDELS (Workshops), 2018)

Using Behavioural Programming with Solver, Context, and Deep Reinforcement Learning for Playing a Simplified RoboCup-Type Game. - Achiya Elyasaf; Aviran Sadon; Gera Weiss; Tom Yaacov (MoDELS (Companion), 2019)

Towards a framework for analyzing context-oriented programming languages. - Achiya Elyasaf; Arnon Sturm (COP@ECOOP, 2021)

Context-Oriented Behavioral Programming. - Achiya Elyasaf (Inf. Softw. Technol., 2021)

Modeling Context-aware Systems: A Conceptualized Framework. - Achiya Elyasaf; Arnon Sturm (MODELSWARD, 2022)

Scenario-assisted Deep Reinforcement Learning. - Raz Yerushalmi; Guy Amir; Achiya Elyasaf; David Harel; Guy Katz; Assaf Marron (MODELSWARD, 2022)

Combinatorial Sequence Testing Using Behavioral Programming and Generalized Coverage Criteria. - Achiya Elyasaf; Eitan Farchi; Oded Margalit; Gera Weiss; Yeshayahu Weiss (CoRR, 2022)

What Petri Net Obliges Us to Say. - Achiya Elyasaf; Tom Yaacov; Gera Weiss (CoRR, 2022)

Evolving context-aware recommender systems with users in mind. - Amit Livne; Eliad Shem Tov; Adir Solomon; Achiya Elyasaf; Bracha Shapira; Lior Rokach (Expert Syst. Appl., 2022)

A Melting Pot of Evolution and Learning. - Moshe Sipper; Achiya Elyasaf; Tomer Halperin; Zvika Haramaty; Raz Lapid; Eyal Segal; Itai Tzruia; Snir Vitrack Tamam (GPTP, 2023)

Provengo: A Tool Suite for Scenario Driven Model-Based Testing. - Michael Bar-Sinai; Achiya Elyasaf; Gera Weiss; Yeshayahu Weiss (ASE, 2023)

Fitness Approximation through Machine Learning. - Itai Tzruia; Tomer Halperin; Moshe Sipper; Achiya Elyasaf (CoRR, 2023)

A Framework for Analyzing Modeling Languages for Context-Aware Systems. - Achiya Elyasaf; Arnon Sturm (SN Comput. Sci., 2023)

Enhancing Deep Reinforcement Learning with Scenario-Based Modeling. - Raz Yerushalmi; Guy Amir; Achiya Elyasaf; David Harel; Guy Katz; Assaf Marron (SN Comput. Sci., 2023)

A framework for analyzing context-oriented programming languages. - Achiya Elyasaf; Nicolás Cardozo; Arnon Sturm (J. Syst. Softw., 2023)

What Petri Nets Oblige us to Say Comparing Approaches for Behavior Composition. - Achiya Elyasaf; Tom Yaacov; Gera Weiss (IEEE Trans. Software Eng., 2023)

EC-KitY: Evolutionary computation tool kit in Python with seamless machine learning integration. - Moshe Sipper; Tomer Halperin; Itai Tzruia; Achiya Elyasaf (SoftwareX, 2023)

Generalized Coverage Criteria for Combinatorial Sequence Testing. - Achiya Elyasaf; Eitan Farchi; Oded Margalit; Gera Weiss; Yeshayahu Weiss (IEEE Trans. Software Eng., 2023)

Evolving Assembly Code in an Adversarial Environment. - Irina Maliukov; Gera Weiss; Oded Margalit; Achiya Elyasaf (GECCO Companion, 2024)

Deep Neural Crossover: A Multi-Parent Operator That Leverages Gene Correlations. - Eliad Shem Tov; Achiya Elyasaf (GECCO, 2024)

Keeping Behavioral Programs Alive: Specifying and Executing Liveness Requirements. - Tom Yaacov; Achiya Elyasaf; Gera Weiss (RE, 2024)

Boosting LLM-Based Software Generation by Aligning Code with Requirements. - Tom Yaacov; Achiya Elyasaf; Gera Weiss (RE Workshops, 2024)

Categorizing methods for integrating machine learning with executable specifications. - David Harel; Raz Yerushalmi; Assaf Marron; Achiya Elyasaf (Sci. China Inf. Sci., 2024)

Deep Neural Crossover. - Eliad Shem Tov; Achiya Elyasaf (CoRR, 2024)

Deep Learning-Based Operators for Evolutionary Algorithms. - Eliad Shem Tov; Moshe Sipper; Achiya Elyasaf (CoRR, 2024)

A Study on the Comprehensibility of Behavioral Programming Variants. - Adiel Ashrov; Arnon Sturm; Achiya Elyasaf; Guy Katz (ENASE, 2025)

A Behavior-Based Knowledge Representation Improves Prediction of Players' Moves in Chess by 25%. - Benny Skidanov; Daniel Erbesfeld; Gera Weiss; Achiya Elyasaf (CoRR, 2025)

Black-Box Bug-Amplification for Multithreaded Software. - Yeshayahu Weiss; Gal Amram; Achiya Elyasaf; Eitan Farchi; Oded Margalit; Gera Weiss (CoRR, 2025)